cszn/FFDNet
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
This tool helps photographers, graphic designers, and anyone working with visual media to quickly clean up noisy images. You provide an image that has been degraded by various types of noise, and it outputs a clearer, denoised version. This is ideal for professionals who need to improve image quality for publication, analysis, or display.
546 stars. No commits in the last 6 months.
Use this if you frequently work with digital images that suffer from undesirable noise patterns and need an efficient way to restore their clarity, even when noise levels vary across the image.
Not ideal if you're looking for advanced image restoration beyond noise removal, such as inpainting missing areas or correcting blur from motion.
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546
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131
Language
MATLAB
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Last pushed
Oct 09, 2021
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