Image Coding Using DCT and Block Hierarchical Segmentation Finite - State Vector Quantization 


Vol. 7,  No. 3, pp. 1013-1020, Mar.  2000
10.3745/KIPSTE.2000.7.3.1013


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  Abstract

In this paper, we propose an algorithm which segments hierarchically blocks of image using discrete cosine transform(DCT) and executes finite-state vector quantization(FSVQ) for each block. Using DCT coefficient feature, image is segmented hierarchically to large smooth block and small edge block, then the block hierarchy informations are transmitted. The codebooks are respectively constructed for each hierarchical blocks, the encoder transmits codeword index using FSVQ for reducing encoded bit with hierarchical segmentation information. Compared with side match VQ(SMVQ) and hierarchical FSVQ(HFSVQ) algorithm, about Zelda and Boat image, the new algorithm shows better picture quality with 1.97 dB and 2.85 dB differences as to SMVQ, 1.78 dB and 1.85 dB differences as to HFSVQ respectively.

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[IEEE Style]

S. H. Cho and E. S. Kim, "Image Coding Using DCT and Block Hierarchical Segmentation Finite - State Vector Quantization," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 3, pp. 1013-1020, 2000. DOI: 10.3745/KIPSTE.2000.7.3.1013.

[ACM Style]

Seong Hwan Cho and Eung Sung Kim. 2000. Image Coding Using DCT and Block Hierarchical Segmentation Finite - State Vector Quantization. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 3, (2000), 1013-1020. DOI: 10.3745/KIPSTE.2000.7.3.1013.

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