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Proceedings Paper

A method of image compression based on lifting wavelet transform and modified SPIHT
Author(s): Shiliang Lv; Xiaoqian Wang; Jinguo Liu
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Paper Abstract

In order to improve the efficiency of remote sensing image data storage and transmission we present a method of the image compression based on lifting scheme and modified SPIHT(set partitioning in hierarchical trees) by the design of FPGA program, which realized to improve SPIHT and enhance the wavelet transform image compression. The lifting Discrete Wavelet Transform (DWT) architecture has been selected for exploiting the correlation among the image pixels. In addition, we provide a study on what storage elements are required for the wavelet coefficients. We present lena’s image using the 3/5 lifting scheme.

Paper Details

Date Published: 7 November 2016
PDF: 6 pages
Proc. SPIE 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016, 101411U (7 November 2016); doi: 10.1117/12.2256473
Show Author Affiliations
Shiliang Lv, Changchun Institute of Optics, Fine Mechanics and Physics (China)
State Key Lab. of Geo-information Engineering (China)
Xiaoqian Wang, Univ. of Chinese Academy of Sciences (China)
Northeast Institute of Geography and Agroecology (China)
Jinguo Liu, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 10141:
Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016
Yueguang Lv; Weimin Bao; Guangjun Zhang, Editor(s)

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