Vol. 8, No. 11, November 29, 2014
10.3837/tiis.2014.11.026,
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Abstract
To preserve the spatial consistency of low-level features, generalized Riesz-wavelet transform (GRWT) is adopted for fusing multi-modality images. The proposed method can capture the directional image structure arbitrarily by exploiting a suitable parameterization fusion model and additional structural information. Its fusion patterns are controlled by a heuristic fusion model based on image phase and coherence features. It can explore and keep the structural information e_ciently and consistently. A performance analysis of the proposed method applied to real-world images demonstrates that it is competitive with the state-of-art fusion methods, especially in combining structural information.
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Cite this article
[IEEE Style]
B. Jin, Z. Jing and H. Pan, "Multi-modality Image Fusion via Generalized Riesz-wavelet Transformation," KSII Transactions on Internet and Information Systems, vol. 8, no. 11, pp. 4118-4136, 2014. DOI: 10.3837/tiis.2014.11.026.
[ACM Style]
Bo Jin, Zhongliang Jing, and Han Pan. 2014. Multi-modality Image Fusion via Generalized Riesz-wavelet Transformation. KSII Transactions on Internet and Information Systems, 8, 11, (2014), 4118-4136. DOI: 10.3837/tiis.2014.11.026.