Computer Vision
 
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Color Image Denoising

27 papers with code • 61 benchmarks • 8 datasets

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Improving Image Restoration by Revisiting Global Information Aggregation

megvii-research/TLC • • 8 Dec 2021

Our TLC converts global operations to local ones only during inference so that they aggregate features within local spatial regions rather than the entire large images.

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RENOIR - A Dataset for Real Low-Light Image Noise Reduction

Aftaab99/DenoisingAutoencoder • • 29 Sep 2014

Image denoising algorithms are evaluated using images corrupted by artificial noise, which may lead to incorrect conclusions about their performances on real noise.

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Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies

tum-vision/sublabel_relax • 7 Apr 2016

Convex relaxations of nonconvex multilabel problems have been demonstrated to produce superior (provably optimal or near-optimal) solutions to a variety of classical computer vision problems.

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Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification

iorism/CNN • 19 Nov 2016

To address this issue, here we propose a novel feature space deep residual learning algorithm that outperforms the existing residual learning.

1
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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.

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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.

1
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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.

1
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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.

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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.

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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.

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