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

Author

Benbenisti, Yaniv ; Kornreich, Doron ; Mitchell, Harvey B. ; Schaefer, Paul A.

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel

Volume

10

Issue

5

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

1166

Lastpage

1172

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

Keywords

computational complexity; data compression; feedforward neural nets; image processing; neural net architecture; computational complexity; fixed bit-rate; image compression; multilayer neural network; parallel-structure; Bit error rate; Compression algorithms; Computational complexity; Image coding; Multi-layer neural network; Neural networks; Noise robustness; Signal processing algorithms; Transform coding; Working environment noise;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.788655

Filename

788655