oneTaken/Awesome-Denoise
One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.
This project helps image and video processing professionals understand and implement the latest techniques for removing unwanted noise from visual data. It categorizes cutting-edge research papers on denoising, detailing their approach to color spaces, image types (single, burst, video), and noise models. You get an organized overview of methods, benchmark datasets, and often code links, to produce cleaner, higher-quality images and videos.
499 stars. No commits in the last 6 months.
Use this if you need to research and apply advanced image or video denoising techniques, especially when working with various noise types from different camera sources or lighting conditions.
Not ideal if you're looking for a ready-to-use software tool or a simple drag-and-drop solution for basic image enhancement.
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499
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56
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License
MIT
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Last pushed
Apr 08, 2024
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