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What is FPGA Video Processing?

Commonly, Video Processing is always linked to Graphics Processor Units (GPUs). FPGAs have come to the game of video processing applications to offer a low-power acceleration alternatives while meeting higher-performance. With FPGA acceleration it is completely possible to enhance a video in real time, taking the images directly from the camera.

FPGAs allow users to accelerate image and video processing applications while meeting low-power constraints, making it possible to enhance groups of image or video sequences in real time. For example:


  • Raw bayer image demosaicing

  • Histogram equalization

  • Auto white balancing

  • Lens undistortion (fisheye)

  • Color space conversion

  • Scaling, rotation and translation (GTU)


Besides, FPGA can go even further by performing image analysis on an image stream, detecting and tracking objects. RidgeRun is fully committed to carrying amazing projects out by using FPGA accelerators.

Using FPGA allows users to make the most of their CPUs by offloading the image processing tasks to a specializeed unit (accelerators), letting the CPU free to use in other tasks.


Contrasting FPGA to GPUs, you can have massive parallelism on highly customized applications with FPGAs, while gaining in power consumption and performance at the same time. Nevertheless, FPGAs make available I/O blocks, which allow users to connect external devices to FPGAs, shortening the communication path between the accelerators implemented on the FPGA and peripherals. 

  • Define image and video processing using FPGA

  • FPGA and CPU for image and video processing

    • Want the CPU to run other applications - removing the load from CPU

  • FPGA and GPI

    • Latency for FPGA is lower, creates a better user experience

  • Benefits and use cases of video-based FPGA development including:

    • Accelerated image signal processing

    • Accelerated video processing

How to use FPGA for Faster Image and Video Processing

  1. Implement your design by using RidgeRun's Wrapper for Image Processing Applications and joining FPGA-ISP IP modules to build your custom accelerator.

  2. Generate the configuration file (bitstream)

  3. Configure the FPGA

  4. Enable the driver

  5. Ready to use

There is not any video at this moment, but we can make one if needed

Explain the steps in a numbered list, for example:

Step 1:

Step 2:

Possibly include a tutorial video in addition to written out steps

Real Time Video Processing Using FPGA

Real-time video processing consists in processing a video frame in the time available until the next frame arrives. It allows users to experiment with image transformations while interacting with a camera, without noticing any delay between the real world events and the output image.​

FPGAs allow to accelerate real-time video processing with the aim of keeping a good user's experience with high-image quality and minimizing the delay as much as possible. Compared to other alternatives such as GPUs and CPUS, the experience of using FPGA for real-time video processing acceleration relies on its lower-power consumption, making it possible to have portable devices with larger battery duration.

  • Define what is meant by real time video processing using FPGA

  • Explain the benefits of using FPGA for real-time video processing and use cases

    • Faster processing

    • Uses for streaming high definition video

  • FPGA vs DSPs, ASICs and GPUs for real-time video processing

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