Title :
A neural net algorithm for maximum entropy image reconstruction
Author :
Zhuang, Xinhua ; Haralick, Robert M.
Author_Institution :
Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Abstract :
An open problem of whether or not there exists a solution to the maximum entropy image reconstruction problem is theoretically solved. The convergence of a maximum entropy image reconstruction algorithm proposed by X. Zhuang et al. (IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, no.2, p.208-18, Feb. 1987) is proven and its fast convergence is derived
Keywords :
convergence; entropy; neural nets; picture processing; fast convergence; maximum entropy image reconstruction; neural net algorithm; picture processing; Constraint theory; Energy measurement; Entropy; Image reconstruction; Multidimensional systems; Neural networks; Noise level; Pixel; Reconstruction algorithms; Signal reconstruction;
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
DOI :
10.1109/ICPR.1990.119328
