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Choice of Wavelets for Image Compression
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.