Target image processing algorithms to FPGA or ASIC hardware
Image and video processing, especially at higher resolutions, is compute-intensive. FPGA and ASIC hardware, which delivers higher performance per watt than software on a general-purpose CPU, can accelerate this process.
Such hardware must also be able to operate on a stream of pixels rather than a full frame at a time as in Image Processing Toolbox™ or Computer Vision System Toolbox™. Therefore, image or video processing systems are often split across the FPGA fabric and the ARM® processor of a Xilinx® Zynq® or Intel® SoC.
Example FPGA image processing applications include:
- Lane boundary detection in an ADAS system
- Thermal imaging in an infrared camera
- Corner detection in a surveillance system
For details, see Vision HDL Toolbox™. FPGA image processing and computer vision consulting services are also available.
Examples and How To
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Vision HDL Toolbox Overview (1:43) - Video
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Edge Detection and Image Overlay - Example
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Gamma Correction - Example
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Histogram Equalization - Example
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Corner Detection - Example
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Multi-Zone Metering - Example
Software Reference
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Frame To Pixels and Pixels To Frame conversion - Blocks
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Hardware-ready image and video processing algorithms - Documentation
See also: HDL Coder™, HDL Verifier™
