Abstract
This paper describes a method of image generation based on transformation integrating multiple differently focused images. First, we assume that objects are defocused by a geometrical blurring model. And we combine acquired images on certain imaging planes and spatial frequencies of objects by using a convolution of a three-dimensional blur. Then, we reconstruct an all-in-focus image from the acquired images based on spatial frequency analysis using three-dimensional FFT. Some experiments of image generation utilizing synthesized images and real images are shown and extension of the method integrating multiple differently focused images in three-dimensional frequency domain is discussed.
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Kodama, K., Mo, H., Kubota, A. (2005). All-in-Focus Image Generation by Merging Multiple Differently Focused Images in Three-Dimensional Frequency Domain. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_27
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DOI: https://doi.org/10.1007/11581772_27
Publisher Name: Springer, Berlin, Heidelberg
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