rockyco/ImageProcessing
LLM-Aided FPGA Design Optimization
This project helps embedded systems engineers and FPGA developers efficiently implement image processing tasks like edge detection on FPGAs. It takes a standard image as input and processes it using Sobel filters, demonstrating how to achieve significantly faster results with less memory. The output is a processed image, showcasing a highly optimized design for performance-critical applications.
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Use this if you are developing image processing applications on FPGAs and need to optimize for both memory usage and processing speed.
Not ideal if you are looking for a ready-to-use image processing library for general-purpose computing or software-based solutions.
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16
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2
Language
C
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Last pushed
Jun 04, 2025
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