Image wavelet analysis with the Multimedia Video Processor

Author

Brooks, Geoffrey

Author_Institution

Coll. of Eng., Florida State Univ., Tallahassee, FL, USA

fYear

1996

fDate

11-14 Apr 1996

Firstpage

120

Lastpage

123

Abstract

Images can be decomposed into wavelet components using quadrature mirror filtering (QMF) for significant signal entropy reduction and practically lossless subsequent reconstruction. The Multimedia Video Processor (MVP), a five-processor MIMD chip developed by Texas Instruments (TI), is considered for high speed image QMF. The image convolution operation is an integral part of QMF, as well as the basic computational workhorse for numerous other image processing functions. Computational and memory management techniques specific to image convolutions on this architecture are presented. The performance with these considerations is measured using the TI MVP software simulator

Keywords

convolution; digital signal processing chips; entropy; filtering theory; image reconstruction; multimedia communication; quadrature mirror filters; storage management chips; video signal processing; wavelet transforms; Multimedia Video Processor; TI MVP software simulator; Texas Instruments; computational techniques; five-processor MIMD chip; high speed image QMF; image convolution; image processing functions; image wavelet analysis; lossless image reconstruction; memory management techniques; performance measurement; quadrature mirror filtering; signal entropy reduction; wavelet components; Convolution; Entropy; Filtering; Image analysis; Image processing; Image reconstruction; Instruments; Memory management; Mirrors; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '96. Bringing Together Education, Science and Technology., Proceedings of the IEEE

Conference_Location

Tampa, FL

Print_ISBN

0-7803-3088-9

Type

conf

DOI

10.1109/SECON.1996.510039

Filename

510039