Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior

17 Jul 2017Peng LiuRuogu Fang

We explore an innovative strategy for image denoising by using convolutional neural networks (CNN) to learn similar pixel-distribution features from noisy images. Many types of image noise follow a certain pixel-distribution in common, such as additive white Gaussian noise (AWGN)... (read more)

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