Wavelet denoising by quantum threshold algorithm

Peng Wang, Jian Ping Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Quantum threshold algorithm is proposed to reduce the noise of signal. Quantum superposition principle is used to construct noise model in wavelet domain. We consider that signal is quasi quantum system. Every wavelet coefficient belongs to a superposition state. We don't know whether it belongs signal or noise until we measure it. Unlike hard threshold algorithm quantum threshold algorithm hasn't a certain threshold. The probability that a wavelet coefficient belongs to signal or noise is decided by a distribution function. Finally, several experiments are made to compare the proposed method with conventional hard threshold algorithm. The pseudo-Gibbs phenomena can be reduced by this algorithm.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Image and Graphics, ICIG 2007
Pages62-66
Number of pages5
DOIs
StatePublished - 2007
Externally publishedYes
Event4th International Conference on Image and Graphics, ICIG 2007 - Chengdu, China
Duration: 22 Aug 200724 Aug 2007

Publication series

NameProceedings of the 4th International Conference on Image and Graphics, ICIG 2007

Conference

Conference4th International Conference on Image and Graphics, ICIG 2007
Country/TerritoryChina
CityChengdu
Period22/08/0724/08/07

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