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|Title:||PREDICTIVE CLASSIFIED VECTOR QUANTIZATION FOR IMAGE CODING.|
Ngan, King N.
|Citation:||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.|
|Appears in Collections:||Staff Publications|
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