Image edge block classification for CVQ using the SD filter

Author

Farison, James B. ; Quweider, Mahmoud K.

Author_Institution

Dept. of Electr. Eng., Toledo Univ., OH, USA

Volume

4

fYear

1995

fDate

9-12 May 1995

Firstpage

2503

Abstract

A novel technique to classify image edge blocks is presented. It is based on defining a set of linearly independent signature vectors with a one to one association with the edge classes. A set of filter vectors emphasizing the projection of one signature vector and suppressing all others is then designed. Classification of an input edge block is accomplished by choosing the index of the filter with the maximum output magnitude. Coded images based on this classification are shown to preserve their quality and enjoy considerable dB gain over two existing methods. The new technique can be easily implemented using a parallel algorithm with little storage requirement

Keywords

filtering theory; image classification; image coding; vector quantisation; CVQ; SD filter; VQ; classified vector quantization; filter vectors; image coding; image edge block classification; linearly independent signature vectors; maximum output magnitude; parallel algorithm; simultaneous diagonalisation filter; Bit rate; Computational complexity; Distortion measurement; Filters; Gain; Image storage; Impedance matching; Mean square error methods; Nonlinear filters; Parallel algorithms; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480057

Filename

480057