Subband image coding using block-zero tree coding and vector quantization

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 24 Dec 2002Publisher:IEEEJournal:1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, volume 4, pages 2,052-2,055

Authors: Sahng H. Park; Hyeon J. Moon; Nasser M. Nasrabadi;

doi: 10.1109/icassp.1996.545721

Subband image coding using block-zero tree coding and vector quantization

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Abstract

The need for developing effective coding techniques for various multimedia services is increasing in order to meet the demand for image and video data. In this paper, a block-zero tree coding (BZTC) algorithm is proposed for multilayer coding and progressive transmission of images. The BZTC algorithm is constructed as an embedded coding so that the encoding and decoding process can be terminated at any point and allowing reasonable image quality. Some features of our BZTC algorithm are (1) prediction of the significance of blocks across scale, (2) state transition rules for representing the significance block map, and (3) block coding by vector quantization using a multiband codebook consisting of several subcodebooks dedicated for each band at a given threshold.

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State University of New York
United States
State University of New York at Potsdam
United States

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