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