Abstract
This paper proposes a novel region based image fusion scheme based on multiresolution analysis. The low frequency band of the image multiresolution representation is segmented into important regions, sub-important regions and background regions. Each feature of the regions is used to determine the region’s degree of membership in the multiresolution representation, and then to achieve multiresolution representation of the fusion result. The final image fusion result can be obtained by using the inverse multiresolution transform. Experiments showed that the proposed image fusion method can have better performance than existing image fusion methods.
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Project supported by the National Natural Science Foundation of China (No. 60375008), China Aviation Science Foundation (No. 02D57003), China Ph.D Discipline Special Foundation (No. 20020248029), and Shanghai Key Scientific Project (No. 02DZ15001), China
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Liu, G., Jing, Zl. & Sun, Sy. Multiresolution image fusion scheme based on fuzzy region feature. J. Zhejiang Univ. - Sci. A 7, 117–122 (2006). https://doi.org/10.1631/jzus.2006.A0117
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DOI: https://doi.org/10.1631/jzus.2006.A0117