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Multi focus image fusion using the measure of focus

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Abstract

Pixel level image fusion algorithms using Bayes entropy measure of focus (BH) and spatial frequency (SF) are presented and their performances are compared. Both algorithms are performed almost alike. In fact Bayes entropy measure of focus based image fusion algorithm shows slightly better performance. In terms of computational complexity, SF is better than the BH and it can be used for real time applications. The performances of these algorithms are superior to with the well known image fusion technique based on wavelets.

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Correspondence to V. P. S. Naidu.

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Naidu, V.P.S. Multi focus image fusion using the measure of focus. J Opt 41, 117–125 (2012). https://doi.org/10.1007/s12596-012-0071-3

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