Balanced multiwavelet aviation image compression coding based on EBCOT

被引：0
|
作者：
Zhao, Xiu-Ying [1 ,2 ]
Shang, Yu-Feng [2 ]
Zhai, Lin-Pei [1 ]
Fu, De-You [2 ]
Liu, Hong [1 ,2 ]
机构：
[1] Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Acad. of Sci., Changchun 130033, China
[2] Aviation University of Air Force, Changchun 130022, China
来源：
Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2007年 / 15卷 / 11期
关键词：
Algorithms - Aviation - Image coding;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Since pre-filter is more likely to cause the orthogonality and symmetry 'losses' of multi wavelet, and to cause the increase of the compact support of the base function, a multiwavelet 'balanced' algorithm is proposed to make multiwavelets have the same properties with single wavelets. Taking full advantages of the structures of balanced multiwavelet decomposition coefficients, the Embedded Block Coding with Optimal Truncation (EBCOT) image coding algorithm is used to compress the coefficients of balanced multiwavelet. When the compressed ratio reaches 32, the PSNR is 31.3427. The experimental results show that the balanced multiwavelet algorithm based on EBCOT has many good characteristics, such as orthogonality, short support, high vanishing moments, etc., which is a more effective method for aviation image compression.
引用
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页码：1796 / 1801
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