High-speed all-in-focus image reconstruction by merging multiple differently focused images

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Abstract

This paper deals with high-speed all-in-focus image reconstruction by merging multiple differently focused images. Previously, we proposed a method of generating an all-in-focus image from multi-focus imaging sequences based on spatial frequency analysis using three-dimensional FFT. In this paper, first, we combine the sequence into a two-dimensional image having fine quantization step size. Then, just by applying a certain convolution using two-dimensional FFT to the image, we realize high-speed reconstruction of all-in-focus images robustly. Some simulations utilizing synthetic images are shown and conditions achieving the good quality of reconstructed images are discussed. We also show experimental results of high-speed all-in-focus image reconstruction compared with those of the previous method by using real images. © Springer-Verlag Berlin Heidelberg 2006.

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Kodama, K., Mo, H., & Kubota, A. (2006). High-speed all-in-focus image reconstruction by merging multiple differently focused images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4261 LNCS, pp. 909–918). Springer Verlag. https://doi.org/10.1007/11922162_103

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