Vector quantization of images based on Peano scanning

Yucai Feng; Jie Su; Zhongsheng Cao

doi:10.1117/12.323648

25 September 1998 Vector quantization of images based on Peano scanning

Yucai Feng, Jie Su, Zhongsheng Cao

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323648
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

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.

Citation Download Citation

Yucai Feng, Jie Su, and Zhongsheng Cao "Vector quantization of images based on Peano scanning", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323648

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