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A neural net algorithm for maximum entropy image reconstruction

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2 Author(s)
Zhuang, S. ; Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA ; Haralick, R.M.

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

Published in:

Pattern Recognition, 1990. Proceedings., 10th International Conference on  (Volume:ii )

Date of Conference:

16-21 Jun 1990