Bayesian image denoising using two complementary discontinuity measures-Reference-Cited by-同舟云学术

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Bayesian image denoising using two complementary discontinuity measures

Published:2012 Issue:7 Volume:6 Page:932
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Process.

Author:

Jung C.,Jiao L.C.,Gong M.G.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2010.0057?crawler=true&mimetype=application/pdf

Reference30 articles.

1. A multiresolution framework for local similarity based image denoising

2. Image denoising and zooming under the linear minimum mean square-error estimation framework

3. Graph Cuts for Curvature Based Image Denoising

4. An efficient method for impulse noise reduction from images using fuzzy cellular automata

5. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analytical and Simple Form of Shrinkage Functions for Non-Convex Penalty Functions in Fused Lasso Algorithm;International Journal on Artificial Intelligence Tools;2020-09

2. Textural Region Denoising: Application in Agriculture;International Journal of Image and Graphics;2018-10

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