Multi-focus image fusion based on local energy of wavelet transform

Musheng Chen M.D.; Zhishan Cai

doi:10.1117/12.2031686

25 October 2013 Multi-focus image fusion based on local energy of wavelet transform

Musheng Chen M.D., Zhishan Cai

Proceedings Volume 8919, MIPPR 2013: Pattern Recognition and Computer Vision; 891919 (2013) https://doi.org/10.1117/12.2031686
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Musheng Chen M.D. and Zhishan Cai "Multi-focus image fusion based on local energy of wavelet transform", Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 891919 (25 October 2013); https://doi.org/10.1117/12.2031686

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