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
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;
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
DOI :
10.1109/ISCAS.2000.858811
