Title :
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
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;
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
DOI :
10.1109/TENCON.1997.648522
