Multispectral image compression technology based on dual-tree discrete wavelet transform

Zhijun Fang; Guihua Luo; Zhicheng Liu; Yun Gan

doi:10.1117/12.833959

30 October 2009 Multispectral image compression technology based on dual-tree discrete wavelet transform

Zhijun Fang, Guihua Luo, Zhicheng Liu, Yun Gan

Proceedings Volume 7494, MIPPR 2009: Multispectral Image Acquisition and Processing; 749420 (2009) https://doi.org/10.1117/12.833959
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Zhijun Fang, Guihua Luo, Zhicheng Liu, and Yun Gan "Multispectral image compression technology based on dual-tree discrete wavelet transform", Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749420 (30 October 2009); https://doi.org/10.1117/12.833959

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