Representation and coding of images using wavelet transform

Author

Abdulaziz, Nidhal ; Lucas, J. Godfrey

Author_Institution

Fac. of Eng., Univ. of Western Sydney-Nepean, Kingswood, NSW, Australia

Volume

2

fYear

1997

Firstpage

719

Abstract

Image coding is one of the most important applications of wavelets. There has been increasing number of reports each year since the late 1980´s on the design of new wavelet coders and variations to existing ones. In this paper several wavelet-based coders are compared in their performance with still images. The aim of this work is to choose a suitable wavelet coder for intraframe coding that is needed for video compression. Two image quality metrics were used in the comparative study: the compression ratio and the conventional distortion measure, peak signal-to-noise ratio. Also, the effects of different wavelet filters are assessed. The work also aims to establish a suitable computer measure to assess the reconstructed image

Keywords

data compression; filtering theory; image coding; image reconstruction; image representation; runlength codes; transform coding; video coding; wavelet transforms; compression ratio; distortion measure; image coding; image quality metrics; image representation; intraframe coding; reconstructed image; run-length coding; still images; video compression; wavelet coder; wavelet filters; wavelet transform; wavelet-based coders; weak signal-to-noise ratio; Discrete cosine transforms; Distortion measurement; Filters; ISO standards; Image coding; Image quality; Image reconstruction; Image storage; Video compression; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-4365-4

Type

conf

DOI

10.1109/TENCON.1997.648522

Filename

648522