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Proceedings Paper

Wavelet fusion method based on local energy and local entropy
Author(s): Zhicheng Wang; Yan Tian; Jian Liu; Jinwen Tian
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Paper Abstract

A new wavelet fusion method based on local energy and local entropy is presented. First, multiresolution decomposition of source images are obtained by discrete wavelet transform. Second, the corresponding sub-band images by using different rules are fused, that is, the method based on local energy is used in low frequency components while high frequency components including horizontal, vertical and diagonal details are fused by local entropy. Finally, the fused image is obtained by inverse discrete wavelet transform. This method is tested by fusing two groups of images from the same scene. One group is the images with different parts focused by Gaussian blur, while the other is visible light image and far-infrared image. The experimental results prove the novel method to be applicable, efficient and promising.

Paper Details

Date Published: 24 June 2005
PDF: 8 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 596059 (24 June 2005); doi: 10.1117/12.633205
Show Author Affiliations
Zhicheng Wang, Huazhong Univ. of Science and Technology (China)
Yan Tian, Huazhong Univ. of Science and Technology (China)
Jian Liu, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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