DocumentCode
3286651
Title
Image De-noising Based on Multi-wavelet
Author
Xiubi, Wang
Author_Institution
Sichuan Univ. of Sci. & Eng., Zigong, China
Volume
3
fYear
2009
fDate
15-17 May 2009
Firstpage
523
Lastpage
525
Abstract
The method of wavelet thresholding for image denoising has been researched extensively due to its effectiveness and simplicity. In order to obtain better denoising, appropriate wavelet function must be chosen. Multi-wavelet is a theories of vector wavelet that developed just in recent years. It has many good characters for example: orthogonality-short support more vanishing moments, etc. This means that multi-wavelet can provide a newer means to analyze the signal. Method of image de-noising based on traditional wavelet, lifting wavelet and multi-wavelet was introduced. Results of the experiment indicate, the quality of denoised image based on multi-wavelet is best.
Keywords
image denoising; wavelet transforms; image denoising; lifting wavelet; multiwavelet; vector wavelet; wavelet thresholding; Algorithm design and analysis; Filters; Image analysis; Image denoising; Information technology; Noise reduction; Reconstruction algorithms; Signal analysis; Signal processing algorithms; Wavelet analysis; Image De-noising; Multi-Wavelet; Wavelet Transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.388
Filename
5232176
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