DocumentCode
2277259
Title
Enhancing the ability of NAS-RIF algorithm for blind image deconvolution
Author
Matsuyama, Makoto ; Tanji, Yuichz ; Tanaka, Mamoru
Author_Institution
Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan
Volume
4
fYear
2000
fDate
2000
Firstpage
553
Abstract
Blind image deconvolution has possibility in various applications, for example, medical imaging, astronomical imaging, and one-dimensional gamma-ray spectra processing. In this paper, enhancing the ability of the NAS-RIF algorithm, which is known as a powerful blind deconvolution method, is provided. To improve the recovery ability, the cost function of the optimization routine of the NAS-RIF algorithm is redefined, and by incorporating interband prediction, the computational efficiency of the NAS-RIF algorithm is greatly improved
Keywords
deconvolution; image processing; optimisation; prediction theory; NAS-RIF algorithm; blind image deconvolution; computational efficiency improvement; cost function; interband prediction; optimization routine; recovery ability; Biomedical imaging; Computational efficiency; Convolution; Cost function; Deconvolution; Degradation; Finite impulse response filter; Frequency; Image restoration; Iterative algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location
Geneva
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.858811
Filename
858811
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