hellloxiaotian/PSLNet
Perceptive self-supervised learning network for noisy image watermark removal （IEEE Transactions on Circuits and Systems for Video 2024）
This project helps anyone working with digital images to clean up visuals by removing both distracting watermarks and unwanted noise (like graininess) simultaneously. You input a noisy, watermarked image, and it outputs a clearer, watermark-free version. This is ideal for photographers, digital artists, content creators, or anyone needing to restore image quality for archiving or public use.
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Use this if you need to restore the quality of images that contain both visual noise and embedded watermarks, especially when you don't have access to original, clean versions for comparison.
Not ideal if your images only have noise or only have watermarks, and you prefer a tool specialized for a single type of degradation.
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Language
Python
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Last pushed
Aug 21, 2024
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