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Proceedings Paper

A novel fusion method with additive wavelet decomposition
Author(s): Musheng Chen
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Paper Abstract

An additive wavelet fusion method based on local wavelet energy to fuse multi-focus images is presented in this paper. First, multi-resolution decomposition of source images is obtained by wavelet transform. Second, the corresponding sub-band images by using different rules are fused, that is, the method based on average is used in low frequency components while high frequency components are fused by an additive wavelet method based on local energy. Finally, the fused image is obtained by inverse wavelet transform. Entropy and spatial frequency are used to evaluate the image fusion results. The new method is tested by two sets of multi-focus images. The experimental results show that the proposed method can achieve a better fusion performance. Moreover the proposed method is effective, applicable and adaptive for different image data. The influence of the block size of wavelet coefficient and two different wavelet transforms (Mallat's and 'a trous' wavelet) on the fusion results is also discussed, which is of great value for research and experiment in this field.

Paper Details

Date Published: 5 March 2008
PDF: 10 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 66230I (5 March 2008); doi: 10.1117/12.791403
Show Author Affiliations
Musheng Chen, Quanzhou Normal Univ. (China)

Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing
Liwei Zhou, Editor(s)

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