NDLI: Applications of multiwavelet techniques to image denoising

Content Provider	IEEE Xplore Digital Library
Author	Bala, E. Ertuzun, A.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey (Bala, E.; Ertuzun, A.)
Abstract	The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data. Multiwavelets, wavelets with several scaling functions, have been introduced and they offer simultaneous orthogonality, symmetry and short support; which is not possible with ordinary wavelets, also called scalar wavelets. This property makes multiwavelets more suitable for various signal processing applications, especially compression and denoising. Like scalar wavelets, multiwavelets can be realized as filterbanks, however the filterbanks are now matrix-valued; requiring two or more input streams, which can be accomplished by prefiltering. Several thresholding methods to be used with different multiwavelets for image denoising are presented. The performances of multiwavelets are compared with those of scalar wavelets. Simulations reveal that multiwavelet based image denoising schemes outperform wavelet based methods both subjectively and objectively.
Sponsorship	IEEE Signal Process. Soc
Starting Page	581
Ending Page	584
File Size	299586
Page Count	4
File Format	PDF
ISBN	0780376226
ISSN	15224880
DOI	10.1109/ICIP.2002.1039037
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image denoising Discrete wavelet transforms Filters Wavelet analysis Image coding Wavelet coefficients Noise reduction Filtering Wavelet domain Data engineering
Content Type	Text
Resource Type	Article

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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
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