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Image Denoising is the task of removing noise from an image, e.g. the application of Gaussian noise to an image.

( Image credit: Wide Inference Network for Image Denoising via Learning Pixel-distribution Prior )

Benchmarks

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Datasets

Greatest papers with code

Unprocessing Images for Learned Raw Denoising

CVPR 2019 google-research/google-research

Machine learning techniques work best when the data used for training resembles the data used for evaluation.

IMAGE DENOISING

Deep Image Prior

CVPR 2018 DmitryUlyanov/deep-image-prior

In this paper, we show that, on the contrary, the structure of a generator network is sufficient to capture a great deal of low-level image statistics prior to any learning.

IMAGE DENOISING IMAGE INPAINTING IMAGE RESTORATION JPEG COMPRESSION ARTIFACT REDUCTION SUPER-RESOLUTION

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 JPEG ARTIFACT CORRECTION

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 JPEG ARTIFACT CORRECTION SUPER-RESOLUTION

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).

COLOR IMAGE DENOISING 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 NOISE ESTIMATION

Index Network

11 Aug 2019poppinace/indexnet_matting

By viewing the indices as a function of the feature map, we introduce the concept of "learning to index", and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data and are used to guide the downsampling and upsampling stages, without extra training supervision.

GRAYSCALE IMAGE DENOISING IMAGE DENOISING IMAGE MATTING MONOCULAR DEPTH ESTIMATION SCENE SEGMENTATION

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

Learning Enriched Features for Real Image Restoration and Enhancement

ECCV 2020 swz30/MIRNet

With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing.

IMAGE DENOISING IMAGE ENHANCEMENT IMAGE RESTORATION SUPER-RESOLUTION