Wavelets for image compression

TitleWavelets for image compression
Publication TypeConference Paper
Year of Publication1994
AuthorsMandal, M. K., S. Panchanathan, and T. Aboulnasr
Conference NameTime-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Pagination338 -341
Date Publishedoct.
Keywordsdata compression, exhaustive search procedure, image coding, image compression, nonstationary signals, optimal basis, search problems, transform coding, wavelet transform, wavelet transforms
Abstract

The wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. Current techniques use exhaustive search procedures that are computationally intensive to find the ldquo;optimal rdquo; basis (type, order, tree). In this paper, we propose some guidelines based on the statistics of the image to be coded, for determining the need to search for the ldquo;optimal rdquo; wavelets as well as the improvement that can be achieved by using the ldquo;optimal rdquo; over ldquo;standard rdquo; wavelets. The proposed guidelines can be used to find a good initial guess for the exhaustive search if the optimal basis is needed

URLhttp://dx.doi.org/10.1109/TFSA.1994.467224
DOI10.1109/TFSA.1994.467224

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