Comparison of Laplace pyramid and alpha trous wavelet transformation techniques for fusion of Ikonos images

Yueyan Liu; Yonghong Jia; Cui Zou; Zhongwu Wang

doi:10.1117/12.655307

3 November 2005 Comparison of Laplace pyramid and a trous wavelet transformation techniques for fusion of Ikonos images

Yueyan Liu, Yonghong Jia, Cui Zou, Zhongwu Wang

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60442A (2005) https://doi.org/10.1117/12.655307
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Image fusion is a technique of obtaining high spatial resolution multi-spectral images from low spatial resolution multi-spectral and high spatial resolution panchromatic images. Various techniques exist to perform such fusion. These techniques, however, do not seem to preserve the spectral information content of original multi-spectral image in the fused image. Hence, in this study a recent and efficient technique of fusion based on the Laplace pyramid was attempted and its efficiency was compared with that of the a trous wavelet transformation techniques. Accordingly, a lower resolution multi-spectral image of Ikonos and its high-resolution panchromatic image were fused using the Laplace pyramid and the a trous wavelet transformation fusion technique. The outputs were evaluated using visual comparison, statistical entropy, average gradient and correlation coefficient. Compared with a trous wavelet transformation techniques, the Laplace pyramid technique proved to be a better option since it preserved most of the spectral information content and improved spatial information.

Citation Download Citation

Yueyan Liu, Yonghong Jia, Cui Zou, and Zhongwu Wang "Comparison of Laplace pyramid and a trous wavelet transformation techniques for fusion of Ikonos images", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60442A (3 November 2005); https://doi.org/10.1117/12.655307

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KEYWORDS

Image fusion

Wavelets

Spatial resolution

Earth observing sensors

High resolution satellite images

Visualization

Image resolution

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