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  • ISP Core

    • 4Kp60 and 4Kp120 at FPGA devices
    • Multiple pixel processing
    • AXI4-Lite and AXI4-Stream interfaces
    • 2D and 3D noise reduction
    • HDR and WDR
    • AE of 17x15 windows and Histogram
    • AWB of 128x96 windows
    • Learn More
noise image denoise image

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DENOISE

  • 2D Noise Reduction Core

    • High performance and minimum logic sizes
    • Remove Luminance and color noise both
    • Advanced new noise reduction algorithm
    • Adjust the logic size and performance
    • Learn More
normal image hdr image

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HDR

  • HDR Core

    • Support 120dB HDR
    • Combine two or three exposure images
    • Support HDR and non-HDR sensors
    • Minimize ghost videos
    • Keep local contrast
    • Learn More

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DENOISE

  • 2D+3D Noise Reduction Core

    • Advanced 2D spatial noise filtering
    • 3D Motion adaptive temporal filtering
    • Support 1080p60 and 2160p60
    • Minimize ghost videos
    • Learn More

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AI DENOISE

  • AI 2D+3D Noise Reduction Core

    • Deep-learning spatial and temporal noise reduction
    • Deep-learning motion compensation
    • Strength set automatically by the sensor gain
    • Clean video in very low light (48 dB gain)
    • Offered as a separate IP core
    • Learn More

Camera ISP and AI ISP IP cores for FPGA and ASIC

ASICFPGA (Markham, Ontario, Canada, since 2007) develops camera image signal processor (ISP) IP cores for AMD/Xilinx FPGA and ASIC designs, delivered as Verilog source or FPGA netlist with documentation and testbench. The ISP takes Bayer data from the image sensor and performs defect correction, lens shading correction, demosaicing, 2D/3D noise reduction, color correction, gamma, HDR/WDR, edge enhancement and AE/AWB statistics, at 1, 2 or 4 pixels per clock up to 8K.

The AI 2D+3DNR core is a deep-learning denoiser implemented directly in RTL. It runs in the FPGA fabric next to the ISP — no DPU, Vitis AI, NPU or GPU is needed — and is verified on the AMD Kria KV260 at 1920x1080, 30 fps with a Sony IMX678 sensor. See the evaluation kit.