Interpolative BTC image coding

Author

Zeng, B. ; Neuvo, Y. ; Venetsanopoulos, A.N.

Author_Institution

Dept. of Electr. Eng., Toronto Univ., Ont., Canada

Volume

3

fYear

1992

fDate

23-26 Mar 1992

Firstpage

493

Abstract

Two interpolative block truncation coding (BTC) schemes with vector quantization (VQ) and median filters as the interpolator are proposed. The first scheme is based on quincunx subsampling and the second one on every-other-row-and-every-other-column subsampling. Compared to the standard BTC, the new schemes yield a significant reduction in bit rate, only a small degradation in quality, and better channel error resisting capabilities. Moreover, the methods are shown to outperform the BTC schemes with pure VQ at the same bit rate and require minimal computations for the interpolation

Keywords

filtering and prediction theory; image coding; interpolation; vector quantisation; BTC; bit rate reduction; channel error resisting capabilities; every-other-row-and-every-other-column subsampling; image coding; interpolative block truncation coding; median filters; quincunx subsampling; vector quantization; Bit rate; Degradation; Filters; Image coding; Image communication; Image reconstruction; Interpolation; Signal processing; Signal processing algorithms; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226168

Filename

226168