DocumentCode :
2647454
Title :
Image Denoising Application Using Improved Multiscale Intensity Estimation
Author :
Li, Yeqiu ; Lu, Jianming ; Wang, Ling ; Yahagi, Takashi
Author_Institution :
Graduate Sch. of Sci. & Technol., Chiba Univ.
fYear :
2006
fDate :
12-15 Dec. 2006
Firstpage :
590
Lastpage :
593
Abstract :
The improved multiscale intensity estimation method in wavelet domain presented here is a powerful new tool for image denoising and reconstruction. Specifically, we extend the so-called multiscale intensity estimation in wavelet domain. Unlike traditional wavelet-shrink methods, this method is both well suited to processing Poisson data and capable of preserving image edges. At the heart of this new method lies image signal decompositions based on wavelet basis and estimation of the coefficients using the proposed estimation method. Experimental results suggest that our proposed estimation in wavelet domain can outperform standard reconstruction methods currently in use in image restoration
Keywords :
image denoising; image restoration; stochastic processes; wavelet transforms; Poisson data; image denoising application; image reconstruction; image restoration; image signal decompositions; multiscale intensity estimation; reconstruction methods; wavelet domain; wavelet-shrink methods; Heart; Image denoising; Image reconstruction; Image restoration; Noise reduction; Partitioning algorithms; Reconstruction algorithms; Signal processing; Signal resolution; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing and Communications, 2006. ISPACS '06. International Symposium on
Conference_Location :
Yonago
Print_ISBN :
0-7803-9732-0
Electronic_ISBN :
0-7803-9733-9
Type :
conf
DOI :
10.1109/ISPACS.2006.364727
Filename :
4212345
Link To Document :
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