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Proceedings Paper

Multi-focus image fusion using adaptive Wiener filter
Author(s): Junhong Hu; Tianxu Zhang; Sheng Zhong; Xujun Chen
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Paper Abstract

This paper presents a new method for multi-focus image fusion. In the method, the source images are first decomposed into blocks, and the decomposed images are then combined by the use of adaptive Wiener filter. Effects of the block size and threshold are analyzed, and comparison with wavelet transform based method is done. Experimental results show that the proposed method is comparative to wavelet transform based methods for the images without noise, while this method is computationally simpler, and can be implemented in real-time applications. Experimental results also show that under noise circumstances, additive noise or multiplicative noise, the proposed method is obviously superior to the wavelet based method.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862U (15 November 2007); doi: 10.1117/12.745793
Show Author Affiliations
Junhong Hu, Huazhong Normal Univ. (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Sheng Zhong, Huazhong Univ. of Science and Technology (China)
Xujun Chen, Huazhong Normal Univ. (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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