https://github.com/nikhiledm97/fpgaedgedetection
Optimizing RGB to Grayscale, Gaussian Blur and Sobel-Filter operations on FPGAs for reduced dynamic power consumption
https://github.com/nikhiledm97/fpgaedgedetection
fpga gaussian-blur image-processing rgb-grayscale sobel-filter
Last synced: 5 months ago
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Optimizing RGB to Grayscale, Gaussian Blur and Sobel-Filter operations on FPGAs for reduced dynamic power consumption
- Host: GitHub
- URL: https://github.com/nikhiledm97/fpgaedgedetection
- Owner: nikhiledm97
- License: bsd-3-clause
- Created: 2024-03-16T18:57:41.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-04-17T08:24:59.000Z (about 1 year ago)
- Last Synced: 2026-01-11T23:51:27.736Z (5 months ago)
- Topics: fpga, gaussian-blur, image-processing, rgb-grayscale, sobel-filter
- Language: Verilog
- Homepage: https://ieeexplore.ieee.org/document/10574796
- Size: 4.91 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# FPGAedgeDETECTION
Implementations of the algorithms and architectures described in [Optimizing RGB to Grayscale, Gaussian Blur and Sobel-Filter operations on FPGAs for reduced dynamic power consumption](https://ieeexplore.ieee.org/document/10574796) published in the proceedings of the _2024 3rd IEEE International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)_
DOI: [10.1109/AIIoT58432.2024.10574796](https://doi.org/10.1109/AIIoT58432.2024.10574796)