NDLI: An Adaptive Algorithm for Image De-Noising Based on Fuzzy Gibbs Random Fields

Content Provider	IEEE Xplore Digital Library
Author	Du Xinyu Li Yongjie Yao Dezhong
Copyright Year	2006
Description	Author affiliation: Sch. of Life Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu (Du Xinyu; Li Yongjie; Yao Dezhong)
Abstract	Because of the flexible cliques and effective prior models, Gibbs random field (GRF) has gained more and more attentions in image processing. However, in those GRF-based image denoising algorithms, Gibbs distribution binary potential clique parameter, beta, can't be changed adaptively with different area features when we adopt fuzzy Gibbs random field for image de-noising. The article shows an adaptive algorithm to alter the value of beta. The approach can automatically decrease beta to keep details near the object edges and increase beta to suppress noises in smooth areas. Based on several simulation cases, the proposed adaptive algorithm is compared with the standard GRF algorithm, and the results show that the new algorithm behaves better in identifying and resolving capability
Sponsorship	IEEE Circuits and Syst. Soc. HKUST UESTC City Univ. of Hong Kong
Starting Page	467
Ending Page	470
File Size	3790938
Page Count	4
File Format	PDF
ISBN	0780395840
DOI	10.1109/ICCCAS.2006.284678
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Degradation Additive noise Image segmentation Adaptive algorithm Image processing Digital images Noise reduction Interference Waveguide discontinuities Image denoising
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adaptive Search Based Non-Local Means Image De-Noising

A Novel Decomposition Scheme for Image De-Noising

Nonlinear Non-Local Averaging for Image De-noising

An improved image denoising algorithm based on weighted adaptive local bounds

A Geometric Mean Based Adaptive Local Noise Removal Algorithm

A New Fuzzy Logic Image De-noising Algorithm Based on Gradient Detection

An improved NAS-RIF algorithm based on the wavelet denoising and image segmentation

Image De-Noising Algorithm Using Adaptive Bayes Threshold by Subband Based on Nonsubsampled Contourlet Transform

An Efficient Locally Adaptive Wavelet Denoising Method Based on Bayesian MAP Estimation

An Adaptive Algorithm for Image De-Noising Based on Fuzzy Gibbs Random Fields

Similar Documents

Adaptive Search Based Non-Local Means Image De-Noising

A Novel Decomposition Scheme for Image De-Noising

Nonlinear Non-Local Averaging for Image De-noising

An improved image denoising algorithm based on weighted adaptive local bounds

A Geometric Mean Based Adaptive Local Noise Removal Algorithm

A New Fuzzy Logic Image De-noising Algorithm Based on Gradient Detection

An improved NAS-RIF algorithm based on the wavelet denoising and image segmentation

Image De-Noising Algorithm Using Adaptive Bayes Threshold by Subband Based on Nonsubsampled Contourlet Transform

An Efficient Locally Adaptive Wavelet Denoising Method Based on Bayesian MAP Estimation

An Adaptive Algorithm for Image De-Noising Based on Fuzzy Gibbs Random Fields