Nonuniform weighted subsampling for digital image compression

Author

Sorial, H.Z. ; Lynch, William E.

Author_Institution

Centre for Signal Processing & Commun., Concordia Univ., Montreal, Que., Canada

Volume

1

fYear

1995

Firstpage

571

Abstract

In this paper, weighted subsampling (WS) a new, nonuniform image subsampling scheme is presented. The autoregressive model with one parameter (AR(1)) is used to model the input image. The proposed technique uses a weighting function to change the sampling pattern so that more samples are taken in important regions of the image. The signal is weighted to change its autocorrelation matrix and a sampling pattern is deduced and applied to the image. Predictive lossless coding is used to extend the compression achieved by the subsampling operation. Experiments with facial images demonstrate the effectiveness of the proposed method

Keywords

Huffman codes; autoregressive processes; correlation methods; data compression; image coding; image sampling; autocorrelation matrix; autoregressive model; digital image compression; facial images; nonuniform image subsampling scheme; predictive lossless coding; sampling pattern; weighted subsampling; Autocorrelation; Digital images; Eigenvalues and eigenfunctions; Energy measurement; Filters; Frequency; Image coding; Karhunen-Loeve transforms; Standards development; Symmetric matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1995. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-2766-7

Type

conf

DOI

10.1109/CCECE.1995.528201

Filename

528201