NDLI: Spatially adaptive multiplicative noise image denoising technique

Content Provider	IEEE Xplore Digital Library
Author	Hawwar, Y. Reza, A.
Copyright Year	1992
Abstract	A new image denoising technique in the wavelet transform domain for multiplicative noise is presented. Unlike most existing techniques, this approach does not require prior modeling of either the image or the noise statistics. It uses the variance of the detail wavelet coefficients to decide whether to smooth or to preserve these coefficients. The approach takes advantage of wavelet transform property in generating three detail subimages each providing specific information with certain feature directivity. This allows the ability to combine information provided by different detail subimages to direct the filtering operation. The algorithm uses the hypothesis test based on the F-distribution to decide whether detail wavelet coefficients are due to image related features or they are due to noise. The effectiveness of the proposed technique is tested for orthogonal as well as biorthogonal mother wavelets in order to study the effect of the smoothing process under different wavelet types.
Sponsorship	IEEE Signal Processing Society
Starting Page	1397
Ending Page	1404
Page Count	8
File Size	1347992
File Format	PDF
ISSN	10577149
Volume Number	11
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image denoising Additive white noise Gaussian noise Filters Wavelet transforms Filtering AWGN Wavelet coefficients Smoothing methods Noise level
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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

Wavelet-domain filtering for photon imaging systems

Wavelet shrinkage and generalized cross validation for image denoising

Spatially adaptive wavelet-based multiscale image restoration

Image Denoising Using Derotated Complex Wavelet Coefficients

A Discriminative Approach for Wavelet Denoising

The SURE-LET Approach to Image Denoising

Spatially adaptive wavelet thresholding with context modeling for image denoising

Spatially adaptive image denoising under overcomplete expansion

Adaptive image denoising using scale and space consistency

Spatially adaptive multiplicative noise image denoising technique

Similar Documents

Wavelet-domain filtering for photon imaging systems

Wavelet shrinkage and generalized cross validation for image denoising

Spatially adaptive wavelet-based multiscale image restoration

Image Denoising Using Derotated Complex Wavelet Coefficients

A Discriminative Approach for Wavelet Denoising

The SURE-LET Approach to Image Denoising

Spatially adaptive wavelet thresholding with context modeling for image denoising

Spatially adaptive image denoising under overcomplete expansion

Adaptive image denoising using scale and space consistency

Spatially adaptive multiplicative noise image denoising technique