Color Image Denoising

27 papers with code • 61 benchmarks • 8 datasets

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Most implemented papers

Adversarial Distortion Learning for Medical Image Denoising

mogvision/adl 29 Apr 2022

The proposed ADL consists of two auto-encoders: a denoiser and a discriminator.

Hypernetwork-Based Adaptive Image Restoration

ifryed/HyperRes 13 Jun 2022

Adaptive image restoration models can restore images with different degradation levels at inference time without the need to retrain the model.

KBNet: Kernel Basis Network for Image Restoration

zhangyi-3/kbnet 6 Mar 2023

In this paper, we propose a kernel basis attention (KBA) module, which introduces learnable kernel bases to model representative image patterns for spatial information aggregation.

Towards Resilient and Secure Smart Grids against PMU Adversarial Attacks: A Deep Learning-Based Robust Data Engineering Approach

TBdevellopper/Mitigation-of-adversarial-attacks-monitoring-smart-grids MDPI Electronics 2023

In an attempt to provide reliable power distribution, smart grids integrate monitoring, communication, and control technologies for better energy consumption and management.

A Novel Truncated Norm Regularization Method for Multi-channel Color Image Denoising

wangzhi-swu/dtnfm 16 Jul 2023

However, those methods mostly ignore either the cross-channel difference or the spatial variation of noise, which limits their capacity in real world color image denoising.

A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image Restoration

qiuxuanzhizi/qwsnm 24 Jul 2023

Very recently, a quaternion-based WNNM approach (QWNNM) has been developed to mitigate this issue, which is capable of representing the color image as a whole in the quaternion domain and preserving the inherent correlation among the three color channels.