Adaptive wavepacket decomposition and quantization in wavelet-basedimage coding
Dept. of Electr. Eng., Ottawa Univ., Ont.DOI: 10.1109/MWSCAS.1995.510293 Conference: Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on, Volume: 2
Source: IEEE Xplore
Wavelet transform has recently emerged as a promising technique for image compression due to its flexibility in multiresolution representation of image signals. Current wavelet-based image compression techniques use compute intensive procedures for finding the optimal wave-packet decomposition and coefficient quantization for a given image. In this paper, we first propose an efficient wavepacket decomposition algorithm. We then propose a simple technique for finding quantization step-sizes in various wavelet bands when scalar quantization is employed. The proposed techniques provide a good coding performance at a substantially reduced complexity
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