sharif-apu/BJDD_CVPR21
This is the official implementation of Beyond Joint Demosaicking and Denoising from CVPRW21.
This project helps image processing engineers and smartphone camera developers improve the quality of images captured by modern pixel-bin image sensors. It takes raw, noisy, and un-demosaiced image data, especially from Quad-Bayer or Bayer CFA patterns, and produces cleaner, full-color images with fewer artifacts. This is particularly useful for enhancing image output from contemporary smartphone cameras.
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Use this if you are working with raw image data from pixel-bin smartphone camera sensors and need to reduce noise and color artifacts simultaneously for a clearer, more accurate final image.
Not ideal if you are dealing with standard processed images (like JPEGs) or have image quality issues unrelated to demosaicking and denoising from specific camera sensor types.
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Python
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Last pushed
May 08, 2022
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