Paper
14 May 2017 Synthesis filter bank and pupil function for perfect reconstruction of all-in-focus image from focal stack
Akira Kubota
Author Affiliations +
Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 103380A (2017) https://doi.org/10.1117/12.2266960
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan
Abstract
We derive a pupil function for perfectly reconstructing all-in-focus image by filtering focal stack images. The derived function is the one which Fourier transform is expressed by exponential function. From the focal stack captured with the aperture of this function, one can perfectly reconstruct all-in-focus image using spatially invariant filters without requiring region segmentation. Simulation result using synthetic scene with eight depth layers shows the effectiveness of the derived pupil function and the synthetic filter bank.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Akira Kubota "Synthesis filter bank and pupil function for perfect reconstruction of all-in-focus image from focal stack", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 103380A (14 May 2017); https://doi.org/10.1117/12.2266960
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image filtering

Digital filtering

Fourier transforms

Image quality

Optical filters

Image acquisition

Image compression

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