prafful-kumar/Blurred-Image-Recognition
Implementation of U-net architecture for image deblurring (Image restoration).
This project helps you restore clarity to blurry images, making them sharp and recognizable again. You input an image that's out of focus or motion-blurred, and it outputs a clearer version, suitable for analysis or display. Anyone who works with visual data and needs to improve the quality of compromised images, like forensic analysts or photographers, would find this useful.
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Use this if you need to salvage important details from images that were captured with motion blur or were out of focus.
Not ideal if your images are severely corrupted or suffer from issues beyond simple blur, such as extreme noise or missing data.
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Last pushed
Sep 04, 2021
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