Color Image Denoising

27 papers with code • 61 benchmarks • 8 datasets

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Patch Craft: Video Denoising by Deep Modeling and Patch Matching

grishavak/PaCNet-denoiser ICCV 2021

Our algorithm augments video sequences with patch-craft frames and feeds them to a CNN.

45
25 Mar 2021

Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNN

amnesiack/CNNCDM3CIR 8 Dec 2020

We demonstrate the capabilities of the proposed 3-stage structure with three typical color image restoration tasks: color image demosaicking, color compression artifacts reduction, and real-world color image denoising.

4
08 Dec 2020

Pre-Trained Image Processing Transformer

huawei-noah/Pretrained-IPT CVPR 2021

To maximally excavate the capability of transformer, we present to utilize the well-known ImageNet benchmark for generating a large amount of corrupted image pairs.

400
01 Dec 2020

Rank-One Network: An Effective Framework for Image Restoration

shangqigao/RONet 25 Nov 2020

The RO decomposition is developed to decompose a corrupted image into the RO components and residual.

22
25 Nov 2020

Rethinking the CSC Model for Natural Images

drorsimon/CSCNet NeurIPS 2019

Sparse representation with respect to an overcomplete dictionary is often used when regularizing inverse problems in signal and image processing.

31
12 Sep 2019

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

majedelhelou/BUIFD 5 Jul 2019

Blind and universal image denoising consists of using a unique model that denoises images with any level of noise.

13
05 Jul 2019

Real Image Denoising with Feature Attention

saeed-anwar/RIDNet ICCV 2019

Deep convolutional neural networks perform better on images containing spatially invariant noise (synthetic noise); however, their performance is limited on real-noisy photographs and requires multiple stage network modeling.

328
16 Apr 2019

A Brief Review of Real-World Color Image Denoising

ZhaomingKong/color_image_denoising 10 Sep 2018

Filtering real-world color images is challenging due to the complexity of noise that can not be formulated as a certain distribution.

12
10 Sep 2018

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

ayanc/rpcnn 13 Jun 2018

In this work, we propose a new method for natural image denoising that trains a deep neural network to determine whether patches in a noisy image input share common underlying patterns.

10
13 Jun 2018

Residual Dense Network for Image Super-Resolution

idealo/image-super-resolution CVPR 2018

In this paper, we propose a novel residual dense network (RDN) to address this problem in image SR. We fully exploit the hierarchical features from all the convolutional layers.

4,492
24 Feb 2018