DocumentCode
2919446
Title
Image Denoising for Adaptive Threshold Function Based on the Dyadic Wavelet Transform
Author
Huang, Zhenghong ; Xia, Li
Author_Institution
Coll. of Comput. Sci., Chongqing Technol. & Bus. Univ., Chongqing
fYear
2009
fDate
20-22 Feb. 2009
Firstpage
147
Lastpage
150
Abstract
Based on the characteristic of dyadic wavelet transform to image denoising, this paper presents that denoising precision can be improved by the way that adopting different thresholds according to the different scales of the wavelet coefficients of image and noise to establish adaptive layered threshold function which adapts to it and reconstruct the wavelet. The experiment shows that by the method above the effect of image denoising is obviously superior to that of fixed threshold function.
Keywords
image denoising; wavelet transforms; adaptive layered threshold function; adaptive threshold function; denoising precision; dyadic wavelet transform; image denoising; wavelet coefficients; Computer science; Discrete wavelet transforms; Educational institutions; Image denoising; Image edge detection; Image reconstruction; Noise reduction; Signal to noise ratio; Wavelet coefficients; Wavelet transforms; adaptive threshold function; dyadic wavelet transform; image denoising; signal-noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Computer Technology, 2009 International Conference on
Conference_Location
Macau
Print_ISBN
978-0-7695-3559-3
Type
conf
DOI
10.1109/ICECT.2009.64
Filename
4795938
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