Abstract
In wavelet-based image coding the choice of wavelets is crucial and determines the coding performance. Current techniques use computationally intensive search procedures to find the optimal basis (type, order and tree). In this paper, we show that searching for optimal wavelet does not always offer a substantial improvement in coding performance over “good” standard wavelets. We propose some guidelines for determining the need to search for the “optimal” wavelets based on the statistics of the image to be coded. In addition, we propose an adaptive wavelet packet decomposition algorithm based on the local transform gain of each stage of the decomposition. The proposed algorithm provides a good coding performance at a substantially reduced complexity.
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© 1996 Springer-Verlag Berlin Heidelberg
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Mandal, M.K., Panchanathan, S., Aboulnasr, T. (1996). Choice of wavelets for image compression. In: Chouinard, JY., Fortier, P., Gulliver, T.A. (eds) Information Theory and Applications II. CWIT 1995. Lecture Notes in Computer Science, vol 1133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025147
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DOI: https://doi.org/10.1007/BFb0025147
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Print ISBN: 978-3-540-61748-8
Online ISBN: 978-3-540-70647-2
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