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Denoising

209 papers with code · Computer Vision

Denoising is the task of removing noise from an image.

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Greatest papers with code

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

13 Aug 2016cszn/DnCNN

Discriminative model learning for image denoising has been recently attracting considerable attentions due to its favorable denoising performance.

IMAGE DENOISING IMAGE SUPER-RESOLUTION

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

29 Jun 2016titu1994/Image-Super-Resolution

In this work, we propose a very deep fully convolutional auto-encoder network for image restoration, which is a encoding-decoding framework with symmetric convolutional-deconvolutional layers.

IMAGE DENOISING IMAGE RESTORATION SUPER RESOLUTION

Noise2Noise: Learning Image Restoration without Clean Data

ICML 2018 NVlabs/noise2noise

We apply basic statistical reasoning to signal reconstruction by machine learning -- learning to map corrupted observations to clean signals -- with a simple and powerful conclusion: it is possible to learn to restore images by only looking at corrupted examples, at performance at and sometimes exceeding training using clean data, without explicit image priors or likelihood models of the corruption.

DENOISING IMAGE RESTORATION

Learning Deep CNN Denoiser Prior for Image Restoration

CVPR 2017 cszn/ircnn

Recent works have revealed that, with the aid of variable splitting techniques, denoiser prior can be plugged in as a modular part of model-based optimization methods to solve other inverse problems (e. g., deblurring).

DEBLURRING IMAGE DENOISING IMAGE RESTORATION

Toward Convolutional Blind Denoising of Real Photographs

CVPR 2019 GuoShi28/CBDNet

While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on real-world noisy photographs.

IMAGE DENOISING

Neural Nearest Neighbors Networks

NeurIPS 2018 visinf/n3net

To exploit our relaxation, we propose the neural nearest neighbors block (N3 block), a novel non-local processing layer that leverages the principle of self-similarity and can be used as building block in modern neural network architectures.

IMAGE DENOISING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising

11 Oct 2017cszn/FFDNet

Due to the fast inference and good performance, discriminative learning methods have been widely studied in image denoising.

IMAGE DENOISING