Title :
Adaptive wavepacket decomposition and quantization in wavelet-based image coding
Author :
Mandal, M.K. ; Aboulnasr, T. ; Panchanathan, S.
Author_Institution :
Dept. of Electr. Eng., Ottawa Univ., Ont., Canada
Abstract :
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
Keywords :
adaptive codes; data compression; image coding; quantisation (signal); wavelet transforms; adaptive wavepacket decomposition algorithm; image coding; image compression; multiresolution signal representation; scalar quantization; wavelet transform; Cost function; Discrete cosine transforms; Image coding; Image storage; Quantization; Rate-distortion; Signal resolution; Video compression; Wavelet packets; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-7803-2972-4
DOI :
10.1109/MWSCAS.1995.510293