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Proceedings Paper

Vector quantization of images based on Peano scanning
Author(s): Yucai Feng; Jie Su; Zhongsheng Cao
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Paper Abstract

VQ (Vector Quantization) reduce the bit rate by exploiting the correlation in the data. To improve the performance of a compression algorithm based on VQ, this paper introduced a more efficient scanning method, i.e. Peanoscanning, which maintains better correlation in 2D data than that of raster scan, and then a hierarchical VQ based on the characteristics of image data is presented, at last we reduced the blocking effect by a smoothing algorithm.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323648
Show Author Affiliations
Yucai Feng, Huazhong Univ. of Science and Technology (China)
Jie Su, Huazhong Univ. of Science and Technology (China)
Zhongsheng Cao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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