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