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Proceedings Paper

Multispectral image compression technology based on dual-tree discrete wavelet transform
Author(s): Zhijun Fang; Guihua Luo; Zhicheng Liu; Yun Gan
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Paper Abstract

The paper proposes a combination of DCT and the Dual-Tree Discrete Wavelet Transform (DDWT) to solve the problems in multi-spectral image data storage and transmission. The proposed method not only removes spectral redundancy by1D DCT, but also removes spatial redundancy by 2D Dual-Tree Discrete Wavelet Transform. Therefore, it achieves low distortion under the conditions of high compression and high-quality reconstruction of the multi-spectral image. Tested by DCT, Haar and DDWT, the results show that the proposed method eliminates the blocking effect of wavelet and has strong visual sense and smooth image, which means the superiors with DDWT has more prominent quality of reconstruction and less noise.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749420 (30 October 2009); doi: 10.1117/12.833959
Show Author Affiliations
Zhijun Fang, Jiangxi Univ. of Finance and Economics (China)
Guihua Luo, Jiangxi Univ. of Finance and Economics (China)
Zhicheng Liu, Hunan Railway Professional Technology College (China)
Yun Gan, Jiangxi Univ. of Finance and Economics (China)


Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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