Operator theoretic image coding

Author

Puh, H. ; Combettes, P.L.

Author_Institution

Dept. of Electr. Eng., City Univ. of New York, NY, USA

Volume

4

fYear

1996

fDate

7-10 May 1996

Firstpage

1862

Abstract

A general formalism for iterative image coding is introduced. In this framework, each feature of the image to be coded is associated with a nonexpansive operator which leaves invariant all images possessing the feature in question. The decoding scheme consists of finding a common fixed point of these operators, which can be achieved via efficient parallel algorithms. The proposed formalism provides a flexible treatment of the image coding problem and contains as special cases transform coding, fractal coding, set theoretic coding, and vector quantization

Keywords

decoding; fractals; image coding; iterative methods; mathematical operators; parallel algorithms; set theory; transform coding; vector quantisation; decoding scheme; efficient parallel algorithms; fractal coding; general formalism; iterative image coding; nonexpansive operator; operator theoretic image coding; set theoretic coding; transform coding; vector quantization; Cities and towns; Convergence; Educational institutions; Fractals; Image coding; Image processing; Iterative decoding; Parallel algorithms; Transform coding; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.544812

Filename

544812