Vector-scalar classification for transform image coding

作     者：Pan, JP 

作者机构：CommQuest Encinitas CA 92024 USA 

出 版 物：《IEEE TRANSACTIONS ON IMAGE PROCESSING》 (IEEE Trans Image Process)

年 卷 期：1999年第8卷第9期

页      面：1175-1182页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：classification DCT image coding entropy coding image coding quantization 

摘      要：This paper introduces vector-scalar classification (VSC) for discrete cosine transform (DCT) coding of images, Two main characteristics of VSC differentiate it from previously proposed classification methods, First, pattern classification is effectively performed in the energy domain of the DCT subvectors using vector quantization, Second, the subvectors, instead of the DCT vectors, are mapped into a prescribed number of classes according to a pattern-to-class link established by scalar quantization. Simulation results demonstrate that the DCT coding systems based on VSC are superior to the other proposed DCT coding systems and are competitive compared to the best subband and wavelet coding systems reported in the literature.