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Fixed bit-rate image compression using a parallel-structure multilayer neural network

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4 Author(s)
Benbenisti, Y. ; Dept. of Comput. Sci. & Electr. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel ; Kornreich, D. ; Mitchell, H.B. ; Schaefer, P.A.

Picture compression algorithms, using a parallel structure of neural networks, have recently been described. Although these algorithms are intrinsically robust, and may therefore be used in high noise environments, they suffer from several drawbacks: high computational complexity, moderate reconstructed picture qualities, and a variable bit-rate. In this paper, we describe a simple parallel structure in which all three drawbacks are eliminated: the computational complexity is low, the quality of the decompressed picture is high, and the bit-rate is fixed

Published in:

Neural Networks, IEEE Transactions on  (Volume:10 ,  Issue: 5 )

Date of Publication:

Sep 1999

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