All IPs > Multimedia > JPEG
JPEG semiconductor IPs form the backbone of a variety of multimedia applications, making them essential for efficient image compression and processing across different platforms. These IPs offer high-performance solutions for encoding and decoding JPEG images, which is crucial for maintaining image quality while reducing file sizes.
In today's digital age, where multimedia content is pervasive, the need for effective image compression technologies is greater than ever. JPEG semiconductor IPs serve this need by providing robust algorithms that can handle complex image data with precision and speed. These IPs are integral to the functionality of digital cameras, smartphones, and other devices that manage and display high volumes of images. By incorporating JPEG IPs, manufacturers can ensure that their devices deliver superior image quality without compromising on storage or transmission efficiency.
In the category of JPEG semiconductor IPs, you'll find a variety of solutions tailored to different application needs. Whether it's for high-end consumer electronics or industrial imaging solutions, these IPs are designed to cater to diverse requirements, offering a balance of performance, power consumption, and area efficiency. Additionally, the flexibility of these IPs allows them to be integrated into a range of systems, offering scalability and adaptability for developers.
These semiconductor IPs play a crucial role in the multimedia ecosystem, supporting the seamless exchange of visual data across multiple devices and networks. As the demand for high-resolution images continues to rise, JPEG IPs will remain a vital component, evolving alongside new technological advancements to meet the challenges of modern multimedia applications.
Overview: The Camera ISP IP is an Image Signal Processing (ISP) IP developed for low-light environments in surveillance and automotive applications, supporting a maximum processing resolution of 13 Mega or 8Mega Pixels (MP) at 60 frames per second (FPS). It offers a configurable ISP pipeline with features such as 18x18 2D/8x6 2D Color Shading Correction, 19-Point Bayer Gamma Correction, Region Color Saturation, Hue, and Delta L Control functions. The ISP IP enhances image quality with optimal low-light Noise/Sharp filters and offers benefits such as low gate size and memory usage through algorithm optimization. The IP is also ARM® AMBA 3 AXI protocol compliant for easy control via an AMBA 3 APB bus interface. Specifications: Maximum Resolution: o Image: 13MP/8MP o Video: 13MP @ 60fps / 8MP @ 60fps Input Formats: Bayer-8, 10, 12, 14 bits Output Formats: o DVP: YUV422, YUV444, RGB888 - 8, 10, 12 bits o AXI: YUV422, YUV444, YUV420, RGB888 - 8, 10, 12 bits Interface: o ARM® AMBA APB BUS interface for ISP system control o ARM® AMBA AXI interface for data o Direct connection to sensor stream data (DVP) o Features: Defective Pixel Correction: On-The-Fly Defective Pixel Correction 14-Bit Bayer Channel Gain Support: Up to x4 / x7.99 with Linear Algebra for Input Pixel Level Adjustment Gb/Gr Unbalance Correction: Maximum Correction Tolerance Gb/Gr Rate of 12.5% 2D Lens-Shading Correction: Supports 18x18 / 8x6 with Normal R/Gb/Gr/B Channel Shading Correction and Color Stain Correction High-Resolution RGB Interpolation: Utilizes ES/Hue-Med/Average/Non-Directional Based Hybrid Type Algorithm Color Correction Matrix: 3x3 Matrix Bayer Gamma Correction: 19 points RGB Gamma Correction: 19 points Color Enhancement: Hue/Sat/∆-L Control for R/G/B/C/M/Y Channels High-Performance Noise Reduction: For Bayer/RGB/YC Domain Noise Reduction High-Resolution Sharpness Control: Multi-Sharp Filter with Individual Sharp Gain Control Auto Exposure: Utilizes 16x16 Luminance Weight Window & Pixel Weighting Auto White Balance: Based on R/G/B Feed-Forward Method Auto Focus: 2-Type 6-Region AF Value Return
Altek's AI Camera Module stands as a testament to the company's prowess in integrating artificial intelligence with advanced imaging technology. This module is designed for a spectrum of applications that demand rapid and precise image processing, such as surveillance, automated inspection, and smart devices. By leveraging sophisticated AI algorithms, the module can perform real-time image analysis, enabling enhanced decision-making processes in demanding scenarios. The AI Camera Module is engineered to deliver high-resolution imagery, coupled with robust data processing capabilities that ensure seamless performance in dynamic environments. Its architecture supports a variety of AI-driven functions like facial recognition, object tracking, and behavioral pattern analysis, thereby elevating the module’s versatility across different sectors. Compatibility with IoT systems enhances its appeal, as the module facilitates sophisticated integration with broader networked environments. With a focus on reducing latency and boosting computational efficiency, Altek's AI Camera Module is poised to be a vital component in the future of smart cities and connected solutions.
xcore.ai is a versatile platform specifically crafted for the intelligent IoT market. It hosts a unique architecture with multi-threading and multi-core capabilities, ensuring low latency and high deterministic performance in embedded AI applications. Each xcore.ai chip contains 16 logical cores organized in two multi-threaded processor 'tiles' equipped with 512kB of SRAM and a vector unit for enhanced computation, enabling both integer and floating-point operations. The design accommodates extensive communication infrastructure within and across xcore.ai systems, providing scalability for complex deployments. Integrated with embedded PHYs for MIPI, USB, and LPDDR, xcore.ai is capable of handling a diverse range of application-specific interfaces. Leveraging its flexibility in software-defined I/O, xcore.ai offers robust support for AI, DSP, and control processing tasks, making it an ideal choice for enhancing IoT device functionalities. With its support for FreeRTOS, C/C++ development environment, and capability for deterministic processing, xcore.ai guarantees precision in performance. This allows developers to partition xcore.ai threads optimally for handling I/O, control, DSP, and AI/ML tasks, aligning perfectly with the specific demands of various applications. Additionally, the platform's power optimization through scalable tile clock frequency adjustment ensures cost-effective and energy-efficient IoT solutions.
The Hyperspectral Imaging System from Imec offers unparalleled capabilities in capturing spectral data, enabling detailed analysis and identification of materials based on their spectral signatures. This system is designed to provide high-resolution imaging across a range of wavelengths, making it an invaluable tool for industries such as agriculture, mining, and environmental monitoring. By integrating cutting-edge sensor technology, the system facilitates advanced analytics that support decision-making in various applications requiring precise material composition detection. This advanced imaging solution leverages Imec’s proprietary sensor innovations, which inherently allow for real-time data acquisition and processing. The compact nature of the system makes it adaptable for field deployments, allowing users to conduct in-situ analyses efficiently. Moreover, its robust design ensures consistent performance in diverse environmental conditions, thus broadening its application scope. Core to the Hyperspectral Imaging System is Imec’s commitment to enhancing the functionality of their semiconductor technology. With its ability to seamlessly integrate into existing infrastructures, it offers users a cost-effective upgrade path for significantly improving the precision of their diagnostic capabilities. As industries look for integrated solutions, this imaging system stands out by offering a high degree of customization to meet specific operational needs.
The MIPITM V-NLM-01 is a specialized non-local mean image noise reduction product designed to enhance image quality through sophisticated noise reduction techniques. This hardware core features a parameterized search-window size and adjustable bits per pixel, ensuring a high degree of customization and efficiency. Supporting HDMI with resolutions up to 2048×1080 at 30 to 60 fps, it is ideally suited for applications requiring image enhancement and processing.
The JPEG Encoder for Image Compression is designed to deliver efficient lossy compression for various imaging applications. This encoder is compliant with the Baseline JPEG standard (ITU T.81), ensuring a balance between compression efficiency and image quality. It supports pixel depths of up to 12 bits, although 8 bits is the default setting. The encoder provides super low latency, making it ideal for rolling shutter cameras, and is available in multiple configurations to suit different application needs. This encoder is particularly adaptable for multimedia applications requiring high-speed processing, including motion JPEG, thanks to its dual-pipe design that allows simultaneous encoding for formats like YUV422. This setup supports resolutions such as 1280x720 at 60 fps with a pixel clock of 100 MHz, although platform-specific optimizations can increase speed. The encoder operates without external RAM, relying only on FPGA and Ethernet PHY, which not only reduces power consumption but also simplifies hardware requirements. Additionally, the JPEG Encoder is verified extensively against standard compliance through detailed simulation models that ensure both bit and cycle accuracy. The encoder can be implemented in various SoCs and integrates smoothly with existing systems, thanks to its adaptable architecture that supports various network streaming standards and embedded applications.
The DSC Decoder is a cutting-edge solution geared towards decoding Display Stream Compression (DSC) data, ensuring optimal performance in delivering high-definition video content. Aligned with the VESA DSC 1.2a standard, this decoder allows for real-time decompression of video streams with high efficiency, ideal for devices and systems needing to manage bandwidth while maintaining a superior visual quality output. Its application stretches across industries, catering to devices that require high-performance video processing like professional display systems, gaming consoles, and even military-grade visual equipment. The decoder supports integration with both SoCs and FPGAs, offering flexibility and adaptability without compromising the integrity or speed of the data being processed. The DSC Decoder’s engineering excellence enables it to manage high-resolution videos up to 16K seamlessly, offering an uncompromised experience in graphics rendering and broadcast quality. It plays a vital role in environments where performance, speed, and video quality cannot be sacrificed, making it a key component in the next generation of multimedia solutions.
The DSC Encoder by Trilinear Technologies efficiently compresses digital video streams, adhering to the VESA Display Stream Compression 1.2a standards. This encoder is engineered for high-speed, real-time operations, making it suitable for both consumer technology and professional-grade applications. Its primary function is to reduce the bandwidth required for transmitting high-resolution video data, crucial for today's demanding multimedia environments. By implementing state-of-the-art compression techniques, the DSC Encoder allows for the seamless handling of up to 16K visual data without degrading quality, making it invaluable for applications that necessitate high-definition displays. This includes everything from advanced gaming systems and home entertainment setups to professional broadcasting and video production devices. Designed to integrate effortlessly with FPGAs and SoCs, the DSC Encoder facilitates the handling of large amounts of data with minimal power consumption, ensuring efficient processing without overheating or significant energy use. It is an indispensable tool for developers looking to incorporate higher quality media experiences without the technological constraints of older systems.
The Lancero JPEG-LS Encoder IP is a highly efficient FPGA-based implementation of the JPEG-LS standard, designed for superior lossless image compression. This IP core sets a high benchmark for image compression with minimal resource usage and eliminates the need for external memory. JPEG-LS excels in lower complexity and resource demand compared to JPEG-2000, delivering better compression for numerous lossless scenarios. The core is capable of handling image samples ranging from 8 to 16 bits, providing flexibility across various image-processing tasks. Its architecture supports pixel and data FIFO interfaces in addition to the Avalon Streaming interface with back-pressure control, ensuring robust data management and throughput. The IP's design allows one pixel to be encoded per clock cycle, optimizing performance for high-speed image processing applications. Developers can configure output data word widths and adapt image sizes up to ultra-high-definition, accommodating diverse applications from medical imaging to high-end photography.
The Ultra-High Throughput JPEG 2000 Encoder from Alma Technologies stands as a leader in the world of image compression, offering unmatched efficiency and flexibility. It is crafted to process intricate image data, catering explicitly to high-data-throughput requirements. This encoder supports both lossy and lossless encoding, making it versatile enough for applications requiring high fidelity imaging, such as satellite and medical image processing. A cornerstone of this encoder's design is its scalable architecture, which employs numerous parallel processing engines. This setup facilitates the handling of vast pixel rates essential for today's applications demanding ultra-HD outputs, like 4K and 8K. Despite this massive data processing capability, Alma Technologies has maintained low silicon footprint requirements, optimizing both speed and operational efficiency. Importantly, it delivers excellent image quality through advanced rate control mechanisms and support for various compression layers. This allows for flexible integration across a variety of hardware environments, ranging from low-end to advanced systems. The encoder's efficient design and ease of integration make it a top choice for industries where image clarity and minimal latency are paramount.
The C3-CODEC-G712-4 Audio Codec from Cologne Chip is a versatile digital audio processing solution designed to enhance audio signal processing systems. This codec utilizes advanced digital techniques to transform analog signals into high-quality digital audio formats efficiently. With its capability to process and convert audio with minimal latency, this codec is ideal for telecommunication and consumer electronic applications. As part of the C³IP family, the C3-CODEC-G712-4 leverages fully digital processing blocks to provide a streamlined, efficient audio conversion process. This approach not only reduces the complexity involved in handling audio data but also lowers production costs by eliminating analog components. This model is particularly useful in applications where sound quality and performance are paramount. The C3-CODEC-G712-4 can be seamlessly integrated into various audio systems due to its compact form and low power requirements. It is equipped to support various audio formats, making it a valuable component in the design of advanced audio applications, from phone systems to modern digital media players.
Novatek's Digital Image Controllers are specially designed for controlling digital imaging systems and carrying out complex signal processing. They find significant application in mobile phones, tablets, cameras, dashcams, IP cameras, and automotive backup cameras, facilitating enhanced image quality and efficiency. By integrating leading-edge technologies with exceptional usability, these controllers meet the stringent demands of image processing in consumer and industrial devices. Novatek's extensive expertise in image processing and control helps ensure these products deliver high-resolution imagery and quick processing times. The refinement of Digital Image Controllers highlights Novatek's dedication to pushing forward the capabilities of digital imaging technologies. Through meticulous design and cutting-edge innovation, they provide their global clientele with trusted solutions that enhance the visual experience across numerous device platforms.
Designed for still image and video compression, the JPEG FPGA Cores by A2e Technologies deliver high-speed performance in processing JPEG Baseline with true grayscale capability. Engineered for efficiency, these cores can manage 140 Megapixels per second for 4:2:0 and 4:2:2 images, positioning them as some of the fastest in the sector. Their compact size, using less than 500 slices in a Xilinx Spartan 6 FPGA, sets a new standard for resource utilization. These cores feature a simple integration interface via FIFO for both input and output, making them adaptable to a wide range of projects. Designed with the capability for customization, they offer JPEG compliance (ISO/IEC 10918-1), programmable quantization tables, and are adaptable for any image size up to 16K x 16K. This flexibility is complemented by options for greyscale and YUV 4:2:0 compressions. Suitable for various applications, these cores can support all JPEG format scan configurations, providing a versatile tool for developers. The deliverables include a complete verification environment and bit-accurate software models, proving their readiness for immediate integration and testing. These comprehensive features make the JPEG FPGA Cores an ideal solution for developers seeking efficient, high-speed image processing capabilities.
The CTAccel Image Processor for Alveo U200 represents a pinnacle of image processing acceleration, catering to the massive data produced by the explosion of smartphone photography. Through the offloading of intensive image processing tasks from CPUs to FPGAs, it achieves notable gains in performance and efficiency for data centers. By using an FPGA as a heterogenous coprocessor, the CIP speeds up typical workflows—such as image encoding and decoding—up to six times, while drastically cutting latency by fourfold. Its architecture allows for expanded compute density, meaning less rack space and reduced operational costs for managing data centers. This is crucial for handling the everyday influx of image data driven by social media and cloud storage. The solution maintains full software compatibility with popular tools like ImageMagick and OpenCV, meaning migration is seamless and straightforward. Moreover, the system's remote reconfiguration capabilities enable users to optimize processing for varying scenarios swiftly, ensuring peak performance without the need for server restarts.
The CTAccel Image Processor (CIP) for Intel Agilex FPGAs is designed to tackle the increasing demands of image processing tasks within data centers. Mobile phone users contribute a vast quantity of image data that gets stored across various Internet Data Centers (IDCs), necessitating efficient image processing solutions. By offloading intensive computation like image transcoding and recognition from traditional CPUs to FPGA, CIP drastically improves processing throughput and operational efficiency. Built on Intel's 10 nm SuperFin technology, the Agilex FPGAs prioritize high performance while maintaining a low power profile. Key features include transceiver rates up to 58 Gbps and advanced DSP blocks for diverse fixed-point and floating-point operations. This capability allows data centers to benefit from a 5 to 20-fold increase in processing speed and a significant reduction in latency, enhancing data handling while lowering ownership costs. CIP ensures software compatibility with leading image software such as ImageMagick and OpenCV, allowing for easy migration. The advanced remote reconfiguration options mean that CIP can accommodate distinct performance requirements of various applications without server reboots.
The Camera ISP Core is designed to optimize image signal processing by integrating sophisticated algorithms that produce sharp, high-resolution images while requiring minimal logic. Compatible with RGB Bayer and monochrome image sensors, this core handles inputs from 8 to 14 bits and supports resolutions from 256x256 up to 8192x8192 pixels. Its multi-pixel processing capabilities per clock cycle allow it to achieve performance metrics like 4Kp60 and 4Kp120 on FPGA devices. It uses AXI4-Lite and AXI4-Stream interfaces to streamline defect correction, lens shading correction, and high-quality demosaicing processes. Advanced noise reduction features, both 2D and 3D, are incorporated to handle different lighting conditions effectively. The core also includes sophisticated color and gamma corrections, with HDR processing for combining multiple exposure images to improve dynamic range. Capabilities such as auto focus and saturation, contrast, and brightness control are further enhanced by automatic white balance and exposure adjustments based on RGB histograms and window analyses. Beyond its core features, the Camera ISP Core is available with several configurations including the HDR, Pro, and AI variations, supporting different performance requirements and FPGA platforms. The versatility of the core makes it suitable for a range of applications where high-quality real-time image processing is essential.
The GL3004 is a highly capable fisheye image processor designed to cater to high-performance wide-angle applications. It is equipped with multiple dewarping modes, allowing it to process and correct images from fisheye lenses effectively. The GL3004 integrates a hardware image signal processor that enhances visual quality by applying wide dynamic range techniques and real-time image corrections. Supporting input resolutions up to 3 megapixels, the GL3004 is tailored for a range of wide-angle camera applications. The integrated display engines allow for dynamic overlay, multipoint views, and customized fisheye corrections, enhancing the user experience with enriched visual presentations. This image processor also includes various input and output interfaces, such as MIPI, DVP, and BT601/656, making it highly versatile. With its advanced hardware-based ISP, the GL3004 supports essential features like auto exposure, color interpolation, and on-screen display functions, making it a robust choice for improving wide-angle imaging technology.
Designed for the Amazon Web Services (AWS) cloud environment, the CTAccel Image Processor (CIP) on AWS offers scalable image processing acceleration by transferring workloads traditionally handled by CPUs to FPGAs. This cloud-based FPGA solution offers significant improvements in throughput and latency for image processing tasks, making it an attractive option for businesses relying on AWS for their data handling. Outfitted to handle tasks such as JPEG thumbnail creation, sharpening, and more, the CIP on AWS empowers data centers to increase processing speeds up to tenfold while simultaneously lowering latency and Total Cost of Ownership (TCO) significantly. Deployable via Amazon Machine Images, it integrates seamlessly with existing cloud services. This image processing solution is particularly advantageous for businesses seeking flexibility and performance at scale in the cloud. By optimizing computational efficiency through FPGA acceleration, it ensures that users can achieve higher data processing rates with reduced latency across AWS infrastructure, offering a potent mix of performance, integration, and cost-effectiveness.
The JPEG XS Encoder/Decoder from TMC aligns with the evolving demands of high-resolution imagery transmission. As appliances and applications embrace higher throughput requirements, this product stands out for offering visually lossless compression that supports rapid data handling. Particularly useful in scenarios like remote sensing and broadcast transmission, JPEG XS facilitates efficient and quick data transmission without compromising image integrity. With the rise of 5G infrastructure, low-latency compression becomes increasingly critical. JPEG XS addresses these needs by minimizing delay in transmission, making it suitable for interactive applications such as virtual reality and automated driving systems. Moreover, the encoder and decoder pairs are engineered to function with high-speed transmission lines to meet challenging operational requirements. This product supports a variety of color spaces and bit depths, ensuring adaptable integration into existing technological ecosystems. Its reduced need for external memory decreases design complexities, cutting down development time and costs.
StreamDSP's JPEG2000 Video Compression Solution provides advanced video and image compression capabilities necessary for a host of professional applications where image quality is paramount. With support for both lossy and lossless compression in a single codestream, this solution balances between achieving the highest image quality and maximizing compression efficiency. It is ideal for applications ranging from digital cinema and medical imaging to remote sensing and scientific research, where maintaining image integrity is crucial. The solution is implemented within FPGA environments, leveraging the high-performance processing capabilities without the need for external processors. This flexibility allows for substantial customization, meeting the varied demands of industries that rely on high-quality image processing. With a range of adaptable features and configurable options, the JPEG2000 Video Compression Solution offers both flexibility and robustness in meeting the needs of complex image processing tasks.
The MIPI IP from XtremeSilica supports the development of camera and display modules in today's interconnected devices. This flexible interface caters to various media and communication applications, ensuring data is transmitted accurately and swiftly between components. The MIPI IP facilitates high-bandwidth data transfer with low power consumption, essential for battery-operated devices where efficiency is key. Its broad compatibility helps manufacturers innovate across different product lines, from smartphones to wearables, without sacrificing quality or performance. This IP provides scalable benefits, allowing easy adaptation to evolving device capabilities. It is crucial in optimizing design footprints and ensuring reliable, quick data exchanges, ultimately leading to superior end-user experiences.
The QOI Lossless Image Compression Encoder and Decoder from Ocean Logic represents a breakthrough in image compression technology. It boasts a highly efficient implementation of the QOI algorithm, engineered for both high and low-end FPGA devices. This IP core can achieve processing speeds of up to approximately 800 megapixels per second, even in lower-powered configurations like 4K at 30 frames per second. Its design optimizes processing efficiency while maintaining minimal resource usage, making it an excellent choice for applications requiring high-speed image processing with limited power availability. At the heart of the IP is its ability to handle substantial amounts of data swiftly, without significant energy expenditure, which is crucial for embedding in power-sensitive devices. The compression enables versatile application in diverse sectors, from consumer electronics to advanced computing environments where high throughput and rapid data handling are paramount. For developers and engineers, the QOI Lossless Compression IP offers an accessible and reliable means to incorporate state-of-the-art lossless image compression into their products, enhancing their ability to handle image data efficiently while ensuring fidelity and performance remain uncompromised.
The JDA1 is a versatile DAC core cell, designed for high-fidelity audio processing. It integrates a delta-sigma DAC with a PLL, eliminating the need for external clock generation by deriving all necessary sampling clocks from a 27MHz input. The JDA1 processes digital PCM inputs from 16 to 24 bits wide, supporting various standard and custom audio sample rates, including 96kHz. Its efficient silicon use requires just 0.3 to 0.4 sqmm, adapting seamlessly to scaling digital IC technologies.
Cologne Chip AG's GateMate FPGA series is designed for small to medium-sized applications, providing an optimal balance of performance and cost. This FPGA family boasts incredible logic capacity and power efficiency, making them a versatile choice for engineers. With a package size tailored for PCB compatibility, these FPGAs are suitable for a wide range of uses, from educational projects to industrial-scale productions. The GateMate FPGA employs an innovative architecture featuring CPE programmable elements, allowing for efficient multiplier construction and enhanced memory capabilities. Supporting a variety of applications, these FPGAs are designed to facilitate high-speed communications with built-in SerDes interfaces. Their synthesis process uses the Yosys framework, while chip programming is seamlessly managed by the open-source openFPGALoader. Produced using GlobalFoundries' 28 nm Super Low Power process, these devices ensure a sturdy supply chain and reliable performance. With features such as quad SPI interface for fast configuration, extensive GPIO support, and low power consumption modes, the GateMate FPGA stands out as a high-performance, cost-effective solution for modern digital designs.
The Ultra-High Throughput 8/10/12-bit JPEG Encoder from Alma Technologies is optimized for high-speed image data processing, ideal for applications ranging from professional broadcasting to telecommunication. Its architecture is centered around scalability, able to be customized to fit a wide array of silicon speed requirements, thereby optimizing the balance between performance and resource use. This encoder supports up to 12-bit depth, making it suitable for high-quality image processing needs. It efficiently processes high volumes of data, maintaining image quality even under stringent bandwidth limitations. An integral feature of this JPEG Encoder is its ability to maintain high throughput while managing large data sets typical of 4K and 8K video standards. The encoder's design is aimed at maximum integration ease, providing straightforward compatibility with various interfaces in an FPGA or ASIC setup. By handling significant pixel rates through parallel processing engines, it presents a solution that caters to intensive visual applications without compromising on speed. Overall, the Ultra-High Throughput JPEG Encoder helps streamline workflows by supporting complex color formats and enhancing resource efficiency, ultimately reducing the silicon footprint required. This results in capable, high-performance systems that fulfill modern high-definition image processing demands with less hardware strain, confirming Alma Technologies’ stronghold in the industry.
VISENGI’s JPEG Decoder IP core is a hardware-oriented solution for decoding JPEG images and MJPEG streams effectively. With a focus on maintaining compatibility with varied image sources, the decoder operates up to 4 pixels output every three cycles, thereby facilitating rapid processing speeds necessary for real-time multimedia applications. The decoder supports the full range of JPEG formats, including multi-scan JPEGs and unlimited chroma subsampling, accommodating extensive image characteristics. Moreover, it provides capabilities for both YCbCr and RGB output, catering to diverse multimedia display requirements. Its high-speed operation is supported by a dual pixel component pipeline and an optimized Huffman decoder, which ensure that decoding efficiency is maintained even for images saved with the highest quality settings. Ideal for integration in environments requiring seamless JPEG decompression, the decoder also offers full support via standard AXI interfaces, making it the perfect choice for stringent time-to-market solutions.
The J5 is a digital processor designed to perform advanced 3-D audio virtualization. Handling both TruSurround and SRS 3D algorithms, it allows users to enjoy a full surround sound feel with just two speakers by implementing complex channel downmixing and spatial audio effects. The J5 is economically designed, needing less than 0.16 sqmm of silicon, making it efficient and cost-effective for high-density audio systems.
Himax Technologies offers a versatile range of CMOS Image Sensors designed to cater to a multitude of camera applications across industries. Their lineup emphasizes small pixel sensors that deliver high performance while maintaining low power consumption, qualities highly prized for integration into mobile and compact devices. These sensors are equipped with programmable readout modes, adjustable integration times, gain controls, and MIPI serial link interfaces for flexible integration into diverse systems.<br> <br> The Always On Sensor category under Himax stands out with its remarkable power efficiency, functioning within sub-milliwatt power ranges. These sensors enable devices to be perpetually ready to capture images, responding with unparalleled speed thanks to their autonomous operation capabilities. The emphasis on ultra-low power requirements makes them particularly suitable for battery-powered, portable devices looking to incorporate real-time sensor functionality.<br> <br> For markets demanding the highest level of system integration, Himax also offers the Image Sensor SOC line. These systems combine the sensor core with an adaptable image signal processor and control loops, simplifying the camera development process. Such innovations streamline product design, allowing developers to bring high-performance camera solutions to market with less time and complexity.
Alma Technologies' Ultra-High Throughput 8/10/12-bit JPEG Decoder is crafted to decode high-quality image data efficiently, making it a pivotal component in systems requiring rapid image retrieval and display. The design focuses on delivering crisp, visually pleasing images while operational complexities remain hidden from system integrators. This decoder supports multiple bit-depths up to 12 bits per channel, catering to fields like medical imaging and high-end videography where superior image quality is crucial. Its innovative architecture consists of multiple parallel processing engines, which enable the decoder to manage vast data flows, such as those seen in modern ultra-HD requirements. Despite processing significant pixel rates typical of emerging ultra-high-definition standards, operational efficiency is achieved without exorbitant power consumption, offering a practical solution for devices with constrained resources. Additionally, the decoder integrates seamlessly with different data interfaces in FPGA and ASIC environments, ensuring a fast implementation that reduces time-to-market. By simplifying large-scale image handling with resource-sharing capabilities, this IP empowers developers to construct systems that are both highly capable and resource-efficient. It underscores Alma Technologies' ability to provide cutting-edge solutions in image compression and decompression sectors.
The J1 core cell is a remarkably small and efficient audio decoder that manages Dolby Digital, AC-3, and MPEG audio decompression. With a design that occupies only 1.0 sqmm of silicon area using 0.18u CMOS technology, it delivers a robust solution for decoding 5.1 channel dolby bitstreams and supports data rates up to 640kb/s. The J1 produces high-quality stereo outputs, both normal and Pro-Logic compatible, from Dolby Digital and MPEG-encoded audio, ideal for set-top boxes and DVD applications.
This Ultra-High Throughput JPEG-LS Encoder by Alma Technologies serves as a benchmark in lossless image compression solutions. Designed to deliver high compression ratio without sacrificing image quality, it is well-suited for applications that need precise image reproduction, such as scientific imaging and archival storage of high-detail images. Leveraging a parallel processing architecture, this encoder excels in handling extensive data volumes, which are characteristic of the increasingly common ultra-high-definition imaging settings. It remains power-efficient while managing these high data rates, thanks to carefully designed resource-sharing techniques that maximize throughput and minimize hardware usage. The versatility of its architecture ensures compatibility within a wide variety of FPGA and ASIC integrations, accommodating different project needs and enhancing flexibility. By minimizing memory requirements and boosting operational speed, the JPEG-LS Encoder supports system designs aimed at crafting fast, reliable, and high-fidelity image processing solutions.
The CTAccel Image Processor (CIP) on Intel PAC offers a substantial leap in image processing capabilities by leveraging FPGA technology. This integration specifically aids data centers in managing large volumes of image data that originate from smartphone users, who frequently upload their photos to cloud storage. With the ability to shift workloads such as image coding and decoding away from the CPU and onto FPGA, CIP enhances data handling efficiency significantly. Usage of CTAccel's CIP on Intel PAC results in enhanced computational throughput, with potential increases of up to five times, alongside a two-to-three-fold reduction in processing latency. This improved performance also brings down Total Cost of Ownership by enhancing compute density; requiring less rack space and lowering the administration burden. This positions CIP as an optimal solution for datacenters looking to optimize their resources. With robust support for popular image processing software like OpenCV and ImageMagick, and utilizing FPGA's partial reconfiguration technology, CIP offers ease of maintenance and flexibility. This ensures that datacenters can adjust and upgrade their processing capabilities efficiently, maximizing the use of their infrastructure without extensive downtime.
HEVC/H.265 Main/Main10/ Main Still Picture Profile @L5.2 AVC/H.264 BP/CBP/MP/HP/HP10 @L5.2 Capable of encoding up to 8K ((8192x4096) A 32-bit AMBA3 APB bus for host CPU system control 128-bit AMBA3 AXI for data transfer (Optionally, additional secondary AXI) Latency tolerance Low power consumption Programmability Configurable IP Multi-instances Frame buffer compression (CFrame) Rotation & Mirroring Bit-depth & chroma sub-sample conversion Background detection 3DNR Lambda table QP Map Custom mode decision, etc.
HEVC/H.265 - Main/Main10 Profile @L5.1 AVC/H.264 - BP/CBP/MP/HP/HP10 Profile @ L5.2 Capable of decoding up to 4K60fps (8192x4096) A 32-bit APB bus and 128-bit AMBA3 AXI buses (w/ additional secondary AXI) Burst Write Back Map converter Low delay Low power consumption Configurable IP Latency tolerance Programmability Multi-instances Frame buffer compression (CFrame) Secondary AXI interfaces Downscaler (on-the-fly mode)
A versatile decoder, the logiJPGD facilitates simultaneous decoding of up to four HD video channels adhering to the JPEG standard Baseline DCT. It is ideal for applications in video over IP, ensuring precise decompression across AMD's All Programmable SoC and FPGA platforms.<br><br>Its ability to manage multiple video streams efficiently makes it a preferred choice in broadcasting, surveillance, and any field requiring robust video data handling. With its emphasis on maintaining video integrity across multiple channels, the logiJPGD supports detailed and accurate video reproduction.<br><br>This IP core positions itself as a cornerstone for multi-stream video processing, offering exceptional decompression capabilities tailored to modern digital video applications. Its integration into existing systems facilitates enhanced functionality without compromising system performance.
The BAT Audio Platform represents a leading-edge audio IP solution developed for battery-powered System-on-Chip (SoC) applications. Intelligently designed to offer unparalleled audio fidelity, this platform significantly enhances auditory features in SoCs, accommodating uses from active noise cancellation and beamforming to voice user interfaces. With a focus on low energy consumption, BAT ensures extended battery life, optimizing devices for efficient operations. Offering an expansive array of off-the-shelf solutions combined with numerous customization options, BAT enables rapid market readiness and risk reduction by building upon top-tier, silicon-proven IPs. This platform not only accelerates project timelines but also decreases development costs, freeing clients to focus on their core competencies while leveraging Dolphin's audio expertise. Incorporating features like WhisperTrigger for ultra-low-power voice activity detection and WhisperExtractor for energy-saving analog feature extraction, BAT represents a holistic approach to advancing audio technology. The platform’s digital and mixed-signal solutions provide seamless integration and configuration, ensuring high fidelity and low power consumption across a spectrum of applications from consumer electronics to IoT devices.
VISENGI’s JPEG Extended Encoder IP core is a comprehensive solution for extended and baseline DCT compression. It adheres strictly to the JPEG ITU-T T.81 standard and accommodates a variety of image qualities through flexible compression settings. The encoder is capable of processing color pixels at a high throughput of 5.3 pixels per cycle, making it efficient and reliable for high-volume image processing applications. The encoder is designed with modularity and versatility in mind, supporting inputs from RGB and YCbCr sources and providing flexible chroma subsampling options. These features make it suitable for a wide range of applications, from simple image compression tasks to more complex multimedia processing. Furthermore, the IP core integrates seamlessly into various design environments with drag-and-drop capabilities for both Xilinx Vivado and Intel Quartus platforms. It comes with embedded DMA engines that connect directly to memory controllers, enhancing performance with efficient data transfer capabilities. The encoder also includes optional AXI4-Stream interfaces, ensuring compatibility with diverse hardware setups.
Video Codec Standard HEVC/H.265: Main profile @ L5.1 High tier AVC/H.264: Baseline/Constrained Baseline/Main/High profile @ L5.2 Performance 4K60fps@500MHz Max resolution: 8192 x 8192 Min resolution: 256 x 128 Bit depth: 8-bit depth Features Frame buffer compression (FBC) Multi-instances 3rd Party I/F Bit depth and YUV format conversion of the source picture Encoder Features I/P picture coding Picture/Block level of rate control ROI coding Background coding Interface AMBA3 32-bit APB I/F for host I/F AMBA3 128-bit AXI for data transfer (Optional AXI can be used to alleviate bandwidth usage.)
The JPEG Codec developed by Shikino High-Tech Co., Ltd. is renowned for its efficient handling of various JPEG formats, offering high-speed and compact processing with energy-efficient performance. The core is driven by proprietary algorithms designed to maximize processing efficiency while maintaining minimal power consumption, making it ideal for applications that require swift image processing without compromising battery life. This JPEG Codec caters to industries demanding quick and reliable image compression and decompression. Its integration into various systems supports enhanced graphic processing capabilities, crucial for industries such as automotive, consumer electronics, and industrial imaging where both quality and speed are paramount. Furthermore, the codec's compatibility with a range of systems and its adaptability to various technological specifications underscore its utility in a wide array of applications, solidifying its place as a versatile and indispensable component in modern digital imaging solutions.
The JPEG Encoder from VISENGI is engineered for efficient baseline DCT compression, aligning with the JPEG ITU-T T.81 standard. It offers a robust hardware solution with constant throughput, making it ideal for applications requiring high-speed image processing and compression. Facilitating integration into existing systems, this IP core supports drag-and-drop functionality for leading design tools like Xilinx Vivado and Altera Quartus. It handles 16 compressed color pixels every three cycles, ensuring rapid performance even under demanding conditions, and up to 8 pixels per cycle for grayscale images. In addition to supporting various chroma subsampling methods and quality levels, the encoder optimizes performance through its AXI standard interfaces, allowing seamless communication between input/output channels and memory controllers. Thus, it adapts to a range of resolutions and input formats, providing extensive flexibility and customization options for developers dealing with both static and dynamic image data.
BLUEDOT's AVIF Image Encoder delivers rapid encoding for real-time applications, aimed at optimizing web information delivery. By addressing network traffic concerns, it ensures quick page loads and minimal compute resource consumption, thus reducing operational expenses. The encoder is designed for efficient compression without compromising image quality, making it ideal for high-traffic services.
Video Codec Standard AV1: Main profile @ L5.1 HEVC: Main/Main10 profile, Main/Main 10 Still Picture profile @ L5.1 High tier AVC: Baseline/Constrained Baseline/Main/High/High 10 profile @ L5.2 (Interlaced coding tools are not supported) Performance 4K60fps@500MHz Max resolution: 8192 x 8192 Min resolution: 256 x 128 Bit depth: 8-/10-bit depth Features Frame buffer compression (FBC) Multi-instances 3rd Party I/F Bit depth and YUV format conversion of the source picture Encoder Features I/P/B picture encoding Picture/Block level of rate control ROI coding Background coding Interface AMBA3 32-bit APB I/F for host I/F AMBA3 128-bit AXI for data transfer * Optional AXI can be used to alleviate bandwidth usage
VISENGI's 2D DCT Core provides efficient two-dimensional discrete cosine transform capabilities, crucial for a variety of data compression processes including image and video compression. This core boasts a fully parallelized design with pipelining, enabling high-throughput processing suitable for real-time applications. Operating over 8x8 blocks of pixels, the 2D DCT Core efficiently transforms spatial data into frequency components, which are easier to compress. The modular design supports different input/output bit widths and the capability to run multiple operations concurrently, allowing adaptation based on specific application needs. This versatility is underscored by its efficient use of resources, making it suitable for deployment in FPGAs or ASICs with varying capacity. Seamlessly integrating into systems that require robust image and video processing capabilities, the core's customizable parameters ensure broad applicability and consistent performance.
The PNG Encoder IP core by VISENGI is meticulously crafted to perform lossless image compression using the PNG standard. It implements both ZLIB and Deflate techniques to deliver efficient, high-quality image compression while maintaining the original pixel integrity. This core handles 24-bit True Color and 8/16-bit grayscale images, adapting to varying data widths efficiently. Its real-time throughput of one pixel per clock cycle allows it to process images rapidly, making it ideal for systems that prioritize speed without sacrificing data fidelity. VISENGI's PNG Encoder facilitates integration into existing workflows through straightforward FIFO-style interfaces and minimal control requirements, ensuring simplicity and reliability. The flexibility of headerless operation for specific applications adds to its utility, making it suitable for diverse media and archival requirements.
TicoRAW provides an innovative approach to managing raw imaging data, prioritizing efficiency and quality in sensor data processing. This solution is particularly adapted for high-resolution image capture systems, ensuring minimal latency while maintaining image integrity. It is crafted to support high-bandwidth, high-resolution lines, effectively reducing the processing demands on supporting hardware. Integrating TicoRAW into your systems means leveraging a codec that preserves the fullest detail in raw image data, suitable for both professional and consumer-grade cameras. This ensures that users can benefit from the richness of the raw sensor data, with all the nuanced quality intact, while significantly lowering the data bandwidth required. The technology minimizes power consumption, which is crucial for mobile and embedded applications. Known for its adaptability, TicoRAW can handle advanced image processing tasks, executing everything from the capturing phase to real-time data analysis, recording, and streaming. Its flexibility allows it to interface with a range of imaging sensors and is perfect for fast-paced, high-resolution environments such as medical imaging, satellite surveillance, broadcast, and beyond. By simplifying the interfacing with camera systems, TicoRAW represents the next step in efficient video data handling, facilitating improved image processing pipelines and sensor applications.
Video Codec Standard AV1: Main profile @ L6 High tier HEVC/H.265: Main/Main10 profile @ L6 High tier AVC/H.264: Baseline/Constrained Baseline/Main/High/High 10 profile @ L6 Performance 4K120fps@500MHz with a dual-core 4K240fps@1GHz or 8K60fps@1GHz with a dual-core Max resolution: 8192 x 8192 Min resolution: 256 x 128 Bit depth: 8-/10-bit depth Features Frame buffer compression (FBC) Multi-instances 3rd Party I/F Bit depth and YUV format conversion of the source picture Encoder Features I/P/B picture coding Picture/Block level of rate control ROI coding Background coding Interface AMBA3 32-bit APB I/F for host I/F AMBA3 128-bit AXI for data transfer (Optional AXI can be used to alleviate bandwidth usage.)
Video Codec Standard AV1: Main profile @ L5.1 Main tier 50Mbps HEVC/H.265: Main/Main 10 profile @ L5.1 High tier AVC/H.264: Baseline/Constrained Baseline/Main/High/High10 profile @ L5.2 (Interlaced coding tools are not supported.) VP9 (Decoder only): Profile 0 and Profile 2 (12-bit not supported) Performance 4K60fps@500MHz with a single-core Max resolution: 8192 x 8192 Min resolution: 256 x 128 Bit depth: 8-/10-bit depth Features Frame buffer compression (FBC) Multi-instances 3rd Party I/F Bit depth and YUV format conversion of the source picture Encoder Features I/P/B picture coding Picture/Block level of rate control ROI coding Background coding Interface AMBA3 32-bit APB I/F for host I/F AMBA3 128-bit AXI for data transfer (Optional AXI can be used to alleviate bandwidth usage.)
The JPEG-DX-S core provides high-quality baseline JPEG decoding capabilities optimized for resources and energy efficiency. It's designed to support extended functionality with its capability to decode both 8-bit and 12-bit JPEG and Motion JPEG streams. This decoder stands out for its scalability, meeting the needs of UHD/8K video processing even when deployed on cost-effective FPGA platforms. Its streamlined architecture ensures high throughput and low-latency operation, making it suitable for a range of multimedia applications.
Video Codec Standard HEVC: Main/Main Still Picture profile @ L5.1 High tier AVC: Baseline/Constrained Baseline/Main/High profiles @ L5.2 Performance 4K60fps@500MHz Max resolution: 8192 x 4096 Min resolution: 256 x 128 Bit depth: 8-bit Features Multi-instances Frame-buffer compression (CFrame) In-loop filter Rotation & Mirroring Bit depth & chroma sample format conversion Lossless coding Background coding Down-scaler (On-the-fly mode) MapConverter 3DNR, etc. Interface 32-bit AMBA3 APB bus 128-bit AMBA3 AXI buses Primary AXI interface and an optional secondary AXI interface
Video Codec Standard AV1: Main profile @ L6 Main tier 50Mbps HEVC/H.265: Main/Main10 profile @ L6 High tier AVC/H.264: Baseline/Constrained Baseline/Main/High/High 10 profile @ L6 VP9 (Decoder only): Profile 0 and Profile 2 (12-bit not supported) Performance 4K120fps@500MHz with a dual-core 4K240fps@1GHz or 8K60fps@1GHz with a dual-core Max resolution: 8192 x 8192 Min resolution: 256 x 128 Bit depth: 8-/10-bit depth Features Frame buffer compression (FBC) Multi-instances 3rd Party I/F Bit depth and YUV format conversion of the source picture Encoder Features I/P/B picture coding Picture/Block level of rate control ROI coding Background coding Interface AMBA3 32-bit APB I/F for host I/F AMBA3 128-bit AXI for data transfer (Optional AXI can be used to alleviate bandwidth usage.)
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