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Latest papers with code

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

8 Dec 2020amnesiack/CNNCDM3CIR

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.

COLOR IMAGE DENOISING DEMOSAICKING IMAGE DENOISING IMAGE RECONSTRUCTION

2
08 Dec 2020

Rank-One Network: An Effective Framework for Image Restoration

25 Nov 2020shangqigao/RONet

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

COLOR IMAGE DENOISING IMAGE DENOISING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

11
25 Nov 2020

Rethinking the CSC Model for Natural Images

NeurIPS 2019 drorsimon/CSCNet

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

COLOR IMAGE DENOISING

22
12 Sep 2019

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

5 Jul 2019majedelhelou/BUIFD

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

COLOR IMAGE DENOISING IMAGE DENOISING

10
05 Jul 2019

Real Image Denoising with Feature Attention

ICCV 2019 saeed-anwar/RIDNet

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.

COLOR IMAGE DENOISING IMAGE DENOISING

191
16 Apr 2019

A Brief Review of Real-World Color Image Denoising

10 Sep 2018ZhaomingKong/color_image_denoising

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

COLOR IMAGE DENOISING IMAGE DENOISING

6
10 Sep 2018

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

13 Jun 2018ayanc/rpcnn

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.

COLOR IMAGE DENOISING IMAGE DENOISING IMAGE RESTORATION

9
13 Jun 2018

Residual Dense Network for Image Super-Resolution

CVPR 2018 idealo/image-super-resolution

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.

COLOR IMAGE DENOISING IMAGE SUPER-RESOLUTION

2,691
24 Feb 2018

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

469
11 Apr 2017