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A Differential Index Assignment Scheme for Tree-Structured Vector Quantization  

한종기 (세종대학교 정보통신공학과 멀티미디어 신호처리 연구실)
정인철 (세종대학교 정보통신공학과 멀티미디어 신호처리 연구실)
Abstract
A differential index assignment scheme is proposed for the image encoding system in which a variable-length tree-structured vector quantizer is adopted. Each source vector is quantized into a terminal node of VLTSVQ and each terminal node is represented as a unique binary vector. The proposed index assignment scheme utilizes the correlation between interblocks of the image to increase the compression ratio with the image quality maintained. Simulation results show that the proposed scheme achieves a much higher compression ratio than the conventional one does and that the amount of the bit rate reduction of the proposed scheme becomes large as the correlation of the image becomes large. The proposed encoding scheme can be effectively used to encode R images whose pixel values we, in general, highly correlated with those of the neighbor pixels.
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