An EZW compressed image technique for calculating texture signatures

Author

Wilson, Beth ; Bayoumi, Magdy A.

Author_Institution

Center for Adv. Comput. Studies, Univ. of Louisiana, Lafayette, LA, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

600

Abstract

Traditional techniques for texture feature extraction needlessly consume valuable system resources by decompressing and storing the image data prior to processing. This paper presents a new technique for calculating mean deviation texture signatures directly from wavelet-compressed images. The technique reduces the overhead while maintaining accuracy. It offers a reduction in memory and computational costs by reducing and simplifying the calculations performed and by eliminating the storage of the reconstructed image

Keywords

data compression; feature extraction; image coding; image reconstruction; image texture; wavelet transforms; EZW compressed image technique; accuracy; computational costs; embedded zerotree wavelet coder; mean deviation signatures; memory reduction; reconstructed image; system resources; texture feature extraction; texture signatures; wavelet-compressed images; Costs; Decoding; Discrete wavelet transforms; Feature extraction; Image coding; Image reconstruction; Image storage; Peak to average power ratio; Software libraries; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on

Conference_Location

Lansing, MI

Print_ISBN

0-7803-6475-9

Type

conf

DOI

10.1109/MWSCAS.2000.952828

Filename

952828