Multi-focus image fusion using adaptive Wiener filter

Junhong Hu; Tianxu Zhang; Sheng Zhong; Xujun Chen

doi:10.1117/12.745793

15 November 2007 Multi-focus image fusion using adaptive Wiener filter

Junhong Hu, Tianxu Zhang, Sheng Zhong, Xujun Chen

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67862U (2007) https://doi.org/10.1117/12.745793
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Junhong Hu, Tianxu Zhang, Sheng Zhong, and Xujun Chen "Multi-focus image fusion using adaptive Wiener filter", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67862U (15 November 2007); https://doi.org/10.1117/12.745793

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