DocumentCode
2212309
Title
The Application of Estimation Method Based on Improved Wavelet Coefficients for Image Denoising
Author
Jinku, Han ; Dahui, Li
Author_Institution
Coll. of Comput. & Control Eng., Qiqihar Univ., Qiqihar, China
fYear
2010
fDate
7-8 Aug. 2010
Firstpage
175
Lastpage
178
Abstract
Wavelet threshold is a commonly method in image denoising. The paper, based on the analysis and estimation of the standard deviation of image noise, comes up with the wavelet shrinkage image threshold method. The procedure is: first, to make sure the standard deviation of the image noise can be estimated by the two Lap lace templates, second, to design different smaller image denoising algorithm through the definition of signal wavelet transform, finally, to estimate the standard deviation through the denoising images from the simulation results to improve the peak value signal-to-noise ratio and visual effect, and eventually eliminate noise effectively.
Keywords
Laplace transforms; image denoising; image segmentation; wavelet transforms; Laplace templates; estimation method; image denoising; improved wavelet coefficients; signal wavelet transform; signal-to-noise ratio; standard deviation; visual effect; wavelet shrinkage image threshold method; Image denoising; Wavelet transform; noise standard deviation;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Communications (Mediacom), 2010 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-4136-5
Type
conf
DOI
10.1109/MEDIACOM.2010.75
Filename
5694174
Link To Document