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Adaptive wavelet packet basis selection for zerotree image coding

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4 Author(s)
N. M. Rajpoot ; Dept. of Comput. Sci., Univ. of Warwick, Coventry, UK ; R. G. Wilson ; F. G. Meyer ; R. R. Coifman

Image coding methods based on adaptive wavelet transforms and those employing zerotree quantization have been shown to be successful. We present a general zerotree structure for an arbitrary wavelet packet geometry in an image coding framework. A fast basis selection algorithm is developed; it uses a Markov chain based cost estimate of encoding the image using this structure. As a result, our adaptive wavelet zerotree image coder has a relatively low computational complexity, performs comparably to state-of-the-art image coders, and is capable of progressively encoding images.

Published in:

IEEE Transactions on Image Processing  (Volume:12 ,  Issue: 12 )