Abstract
Optical lenses, particularly those with long focal lengths, suffer from the problem of limited depth of field. Consequently, it is often difficult to obtain good focus for all the objects in the scene. One approach to address this problem is by performing image fusion, i.e., several pictures with different focus points are combined to a single image. This paper proposes a multifocus image fusion method based on the discrete wavelet frame transform and support vector machines. Experimental results show that the proposed method outperforms the conventional approach based on the discrete wavelet transform and maximum selection rule, particularly when there is slight camera/object movement or mis-registration of the source images.
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Li, S., Kwok, J.T., Wang, Y. (2002). Fusing Images with Multiple Focuses Using Support Vector Machines. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_208
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DOI: https://doi.org/10.1007/3-540-46084-5_208
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