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Proceedings Paper

Multi-focus image fusion based on local energy of wavelet transform
Author(s): Musheng Chen; Zhishan Cai
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Paper Abstract

In this paper, a new multi-focus images fusion method based on wavelet transform is presented. Firstly, the source images are decomposed by wavelet transform. Secondly, the wavelet coefficients of approximate is computed as the significant sum of the corresponding coefficients at the same position in high frequency bands, region match of local energy is used to fuse high frequency sub-bands. Ultimately, the fusion image is obtained through an inverse wavelet transform. The fusion performance of proposed method has been evaluated through informal visual inspection and objective fusion performance measurements, experimental results show that the proposed method can achieve a better fusion performance compared to conventional fusion approaches. Moreover, the relation between wavelet base and image fusion is studied, which is of great value for research and experiment in this field.

Paper Details

Date Published: 25 October 2013
PDF: 8 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891919 (25 October 2013); doi: 10.1117/12.2031686
Show Author Affiliations
Musheng Chen, Quanzhou Normal Univ. (China)
Zhishan Cai, Quanzhou Normal Univ. (China)

Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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