Algorithm for Improving Image Denoising Based on Adaptive Wavelet Transform

Xiang Shi Wang

doi:10.4028/www.scientific.net/AMR.912-914.1134

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 912-914Algorithm for Improving Image Denoising Based on...

Algorithm for Improving Image Denoising Based on Adaptive Wavelet Transform

Abstract:

The denoising of a natural image is the important area in image processing. As a tool of image processing, wavelet transform is widly applied in removing of gauss noise for the partial specific property in time and frequency domain.The main goal of this paper is to eliminate the noise by an adaptive neighborhood window of the wavelet domain and focused on selecting a medium-soft threshold function based on wavelet. Simulation results have shown that the modified function improves the denoising effect comparing with the other threshold functions.

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Periodical:

Advanced Materials Research (Volumes 912-914)

Pages:

1134-1137

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.912-914.1134

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Online since:

April 2014

Authors:

Xiang Shi Wang

Keywords:

Gauss Noise, Medium-Soft Threshold, Wavelet Transform (WT)

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