DocumentCode
2631564
Title
Quasi-maximum likelihood blind deconvolution of images acquired through scattering media
Author
Bronstein, Alexander M. ; Bronstein, Michael M. ; Zibulevsky, Michael ; Zeevi, Yehoshua Y.
Author_Institution
Israel Inst. of Technol., Haifa, Israel
fYear
2004
fDate
15-18 April 2004
Firstpage
352
Abstract
We address the problem of restoration of images obtained through a scattering medium. We present an efficient quasi-maximum likelihood blind deconvolution approach based on the fast relative Newton algorithm and optimal distribution-shaping approach (sparsification), which allows to use simple and convenient sparsity prior for a wide class of images. Simulation results prove the efficiency of the proposed method.
Keywords
Newton method; biomedical optical imaging; deconvolution; image restoration; maximum likelihood estimation; medical image processing; fast relative Newton algorithm; image restoration; optimal distribution-shaping; quasi-maximum likelihood blind deconvolution; scattering media; sparsification; Biomedical optical imaging; Blind source separation; Convolution; Deconvolution; Finite impulse response filter; Image restoration; Kernel; Medical simulation; Optical imaging; Optical scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN
0-7803-8388-5
Type
conf
DOI
10.1109/ISBI.2004.1398547
Filename
1398547
Link To Document