Color Image Denoising Edit Task
Computer Vision • Denoising
About
Benchmarks
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Datasets
Latest papers with code
Color Image Restoration Exploiting Inter-channel Correlation with a 3-stage CNN
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
Rank-One Network: An Effective Framework for Image Restoration
• shangqigao/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
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.
Ranked #1 on
Color Image Denoising
on BSD68 sigma75
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Blind and universal image denoising consists of using a unique model that denoises images with any level of noise.
Ranked #1 on
Grayscale Image Denoising
on BSD68 sigma20
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.
Ranked #1 on
Color Image Denoising
on BSD68 sigma25
A Brief Review of Real-World 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.
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising
• ayanc/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.
Residual Dense Network for 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.
Ranked #1 on
Color Image Denoising
on CBSD68 sigma50
MemNet: A Persistent Memory Network for Image Restoration
We apply MemNet to three image restoration tasks, i. e., image denosing, super-resolution and JPEG deblocking.
COLOR IMAGE DENOISING IMAGE SUPER-RESOLUTION JPEG ARTIFACT CORRECTION
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).
Ranked #1 on
Color Image Denoising
on BSD68 sigma5
COLOR IMAGE DENOISING DEBLURRING IMAGE DENOISING IMAGE RESTORATION