Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/81683
Title: PREDICTIVE CLASSIFIED VECTOR QUANTIZATION FOR IMAGE CODING.
Authors: Hui, Lucai
Ngan, King N. 
Issue Date: 1987
Source: Hui, Lucai,Ngan, King N. (1987). PREDICTIVE CLASSIFIED VECTOR QUANTIZATION FOR IMAGE CODING. : 408-412. ScholarBank@NUS Repository.
Abstract: A novel method of vector quantization, called predictive classified vector quantization (PCVQ), is proposed for image coding. It utilizes spatial correlations across the boundaries of pixel blocks to achieve a high compression rate. The edge/shade and mean intensity information of each block can be predicted and classified. Each block is coded by a quantizer belonging to the same class. The PCVQ consists of compact subcodebooks and gives satisfactory performance at 0. 375 b/pixel.
URI: http://scholarbank.nus.edu.sg/handle/10635/81683
Appears in Collections:Staff Publications

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