Linear/nonlinear adaptive polyphase subband decomposition structures for image compression

Date

1998-05

Editor(s)

Advisor

Supervisor

Co-Advisor

Co-Supervisor

Instructor

Source Title

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98

Print ISSN

Electronic ISSN

Publisher

IEEE

Volume

Issue

Pages

1345 - 1348

Language

English

Journal Title

Journal ISSN

Volume Title

Series

Abstract

Subband decomposition techniques have been extensively used for data coding and analysis. In most filter banks, the goal is to obtain subsampled signals corresponding to different spectral bands of the original data. However, this approach leads to various artifacts in images containing text, subtitles, or sharp edges. In this paper, adaptive filter banks with perfect reconstruction property are presented for such images. The filters of the decomposition structure vary according to the nature of the signal. This leads to higher compression ratios for images containing subtitles compared to fixed filter banks. Simulation examples are presented.

Course

Other identifiers

Book Title

Citation