Adaptive wavepacket decomposition and quantization in wavelet-based image coding

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.