Video and Vision Processing Suite

The Intel® FPGA Video and Vision Processing Suite is a collection of next-generation Intel® FPGA intellectual property (IP) functions that you can use to facilitate the development of custom video and image processing designs. These Intel® FPGA IP functions are suitable for use in a wide variety of image processing and display applications, such as studio broadcast, video conferencing, AV networking, medical imaging, industrial inspections and robotics, smart city/retail and consumer.

Video and Vision Processing Suite Intel® FPGA IP User Guide ›

Intel® FPGA Streaming Video Protocol Specification ›

Video and Vision Processing Suite

Image Signal Processing (ISP)

Create your advanced camera products with a collection of Intel® FPGA IP cores. With customized real-time, low latency image and video processing, and ease of use with rich programming interfaces (APIs) and standard interfaces, these IP cores allow a plug-and-play process that accelerates your ISP product time to market.

To download the ISP on Intel® Arria® 10 SX FPGA design example, log in to your intel.com account.

Download the design example

Features

  • Support for 8 to 16 bits per color component.
  • Up to 8 pixels in parallel per clock processing.
  • Up to 4.8 GP/sec throughput or 80MP@60fps.
  • Low subframe latency.
  • Support for resolutions up to 8K.
  • Low FPGA resource utilization.

  • AXI4-Stream video I/O interface.
  • Support for various color filter array (CFA) patterns.
  • Raw pre-processing, including superior noise reduction and shading correction.
  • HDR post-processing, including adaptive local tone mapping, 3D LUT, advanced geometric distortion correction.
  • Multi-tile local image statistics analysis including auto white balancing (AWB) and auto exposure (AE) control software.

  • Ease of use and seamless integration with other (inc. 3rd party) IP cores such as machine learning accelerators, allowing direct video input.
  • Highly configurable: from limited featured image pre-processing front-end for machine vision to a high-quality pipeline for consumer-facing camera products.
  • Bare-metal and Linux (V4L2) support.

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