Fixed bit-rate image compression using a parallel-structure multilayer neural network.
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.
Benbenisti
Y
Y
Department of Computer Science and Electrical Engineering, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Kornreich
D
D
Mitchell
H B
HB
Schaefer
P A
PA