DocumentCode
3049965
Title
A Novel Method for the Determination of the Wavelet Denoising Threshold
Author
Junli, Li ; Yanqin, Hou ; Ping, Wei ; Gang, Chen
Author_Institution
Inst. of DSP & Software Tech., Ningbo Univ., Ningbo
fYear
2007
fDate
6-8 July 2007
Firstpage
713
Lastpage
716
Abstract
Wavelet threshold shrinking algorithm can effectively remove image noises. In the algorithm the establishment of denoising threshold directly affects denoising results. The noise standard variance is an important factor in ascertainment of thresholds in wavelet denoising. In order to find more suitable algorithms to estimate denosing threshold, a novel algorithm using fuzzy mean error instead of standard variance is proposed based on characteristics of medical images. The experiment results show that the proposed algorithm can efficiently wipe off the noises while keep the image details.
Keywords
fuzzy systems; image denoising; medical image processing; fuzzy mean error; medical images; variance; wavelet denoising; wavelet threshold shrinking algorithm; Biomedical imaging; Digital signal processing; Feature extraction; Gaussian distribution; Gaussian noise; Low pass filters; Medical diagnostic imaging; Noise reduction; Software algorithms; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.186
Filename
4272670
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