Image Denoising

221 papers with code • 6 benchmarks • 8 datasets

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 )

Greatest papers with code

Unprocessing Images for Learned Raw Denoising

google-research/google-research CVPR 2019

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

Image Denoising Tone Mapping

Deep Image Prior

DmitryUlyanov/deep-image-prior CVPR 2018

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 +3

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

kornia/kornia 5 Oct 2019

This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.

Edge Detection Image Augmentation +9

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

cszn/DnCNN 13 Aug 2016

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

Image Deblocking Image Denoising +2

SwinIR: Image Restoration Using Swin Transformer

jingyunliang/swinir 23 Aug 2021

In particular, the deep feature extraction module is composed of several residual Swin Transformer blocks (RSTB), each of which has several Swin Transformer layers together with a residual connection.

Color Image Denoising Image Denoising +4

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

titu1994/Image-Super-Resolution 29 Jun 2016

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 +1

Multi-Stage Progressive Image Restoration

swz30/MPRNet CVPR 2021

At each stage, we introduce a novel per-pixel adaptive design that leverages in-situ supervised attention to reweight the local features.

Deblurring Image Denoising +2

Learning Deep CNN Denoiser Prior for Image Restoration

cszn/ircnn CVPR 2017

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 +2

Toward Convolutional Blind Denoising of Real Photographs

GuoShi28/CBDNet CVPR 2019

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