An improved wavelet thresholding denoising method with exponential- threshold function based on particle swarm optimizer

Minggang Gan*, Jie Chen, Hongwei Yang

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Wavelet thresholding Denoising is one of main methods to eliminate noises. Via selecting proper threshold value and utilizing nonlinear methods with threshold functions to process wavelet coefficients, the optimum de-noising effect could be obtained in the sense of mean square deviation. Exponential-threshold function is widely used in wavelet thersholding denosing. However, how to select exponents is still an open problem. In this paper, the PSO technique is introduced to select the exponents of the prevalent exponential-threshold function with SNR as index function. Simulation results indicate that adopting the exponential-threshold function which is processed by optimization algorithms, better filtering effect could be acquired than the classical soft-, hard- and threshold methods.

Original languageEnglish
Title of host publication2010 Chinese Control and Decision Conference, CCDC 2010
Pages591-594
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 Chinese Control and Decision Conference, CCDC 2010 - Xuzhou, China
Duration: 26 May 201028 May 2010

Publication series

Name2010 Chinese Control and Decision Conference, CCDC 2010

Conference

Conference2010 Chinese Control and Decision Conference, CCDC 2010
Country/TerritoryChina
CityXuzhou
Period26/05/1028/05/10

Keywords

  • Exponential-threshold function
  • Particle swarm optimizer
  • Wavelet thresholding denoising

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Gan, M., Chen, J., & Yang, H. (2010). An improved wavelet thresholding denoising method with exponential- threshold function based on particle swarm optimizer. In 2010 Chinese Control and Decision Conference, CCDC 2010 (pp. 591-594). Article 5498970 (2010 Chinese Control and Decision Conference, CCDC 2010). https://doi.org/10.1109/CCDC.2010.5498970