FFDNet - FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

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Extensive experiments on synthetic and real noisy images are conducted to evaluate FFDNet in comparison with state-of-the-art denoisers. The results show that FFDNet is effective and efficient, making it highly attractive for practical denoising applications. Demo_AWGN_Gray.m is the testing demo of FFDNet for denoising grayscale images corrupted by AWGN.

https://ieeexplore.ieee.org/abstract/document/8365806/
https://github.com/cszn/FFDNet

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