Patch Group Based Bayesian Learning for Blind Image Denoising

2017 ◽  
pp. 79-95 ◽  
Author(s):  
Jun Xu ◽  
Dongwei Ren ◽  
Lei Zhang ◽  
David Zhang
Keyword(s):  
Image Denoising ◽  
Bayesian Learning ◽  
Blind Image ◽  
Patch Group

scholarly journals Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising

2021 ◽  
Author(s):  
Mohammad Nikzad ◽  
Yongsheng Gao ◽  
Jun Zhou
Keyword(s):  
Image Denoising ◽  
Contextual Information ◽  
Test Time ◽  
Noise Levels ◽  
Single Model ◽  
Dilated Convolution ◽  
Effectiveness And Efficiency ◽  
Lattice Network ◽  
Blind Image ◽  
Different Levels

Though convolutional neural networks (CNNs) with residual and dense aggregations have obtained much attention in image denoising, they are incapable of exploiting different levels of contextual information at every convolutional unit in order to infer different levels of noise components with a single model. In this paper, to overcome this shortcoming we present a novel attention-based pyramid dilated lattice (APDL) architecture and investigate its capability for blind image denoising. The proposed framework can effectively harness the advantages of residual and dense aggregations to achieve a great trade-off between performance, parameter efficiency, and test time. It also employs a novel pyramid dilated convolution strategy to effectively capture contextual information corresponding to different noise levels through the training of a single model. Our extensive experimental investigation verifies the effectiveness and efficiency of the APDL architecture for image denoising as well as JPEG artifacts suppression tasks.

scholarly journals Improvement to Blind Image Denoising by Using Local Pixel Grouping with SVD

2016 ◽  
Vol 79 ◽  
pp. 314-320 ◽  
Author(s):  
Rachana Dhannawat ◽  
Archana B. Patankar
Keyword(s):  
Image Denoising ◽  
Pixel Grouping ◽  
Blind Image

scholarly journals Blind Image Denoising via Dependent Dirichlet Process Tree

2017 ◽  
Vol 39 (8) ◽  
pp. 1518-1531 ◽  
Author(s):  
Fengyuan Zhu ◽  
Guangyong Chen ◽  
Jianye Hao ◽  
Pheng-Ann Heng
Keyword(s):  
Image Denoising ◽  
Dirichlet Process ◽  
Dependent Dirichlet Process ◽  
Blind Image ◽  
Process Tree

scholarly journals WhiteNNer-Blind Image Denoising via Noise Whiteness Priors

2019 ◽  
Author(s):  
Saeed Izadi ◽  
Zahra Mirikharaji ◽  
Mengliu Zhao ◽  
Ghassan Hamarneh
Keyword(s):  
Image Denoising ◽  
Blind Image

scholarly journals Fast Blind Image Denoising Algorithm Based on Estimating Noise Parameters

2014 ◽  
Vol 18 (4) ◽  
pp. 523-531
Author(s):  
Tuan-Anh Nguyen ◽  
Beomsu Kim ◽  
Min-Cheol Hong
Keyword(s):  
Image Denoising ◽  
Noise Parameters ◽  
Blind Image

scholarly journals The Noise Clinic: a Blind Image Denoising Algorithm

2015 ◽  
Vol 5 ◽  
pp. 1-54 ◽  
Author(s):  
Marc Lebrun ◽  
Miguel Colom ◽  
Jean-Michel Morel
Keyword(s):  
Image Denoising ◽  
Blind Image

scholarly journals A Perceptually Inspired New Blind Image Denoising Method Using $L_{1}$ and Perceptual Loss

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 90538-90549
Author(s):  
A. F. M. Shahab Uddin ◽  
Taechoong Chung ◽  
Sung-Ho Bae
Keyword(s):  
Image Denoising ◽  
Denoising Method ◽  
Blind Image
Sign in / Sign up

Export Citation Format

Share Document