High-Speed All-in-Focus Image Reconstruction by Merging Multiple Differently Focused Images

  • Kazuya Kodama
  • Hiroshi Mo
  • Akira Kubota
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4261)


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.


Image Plane Image Reconstruction Real Image Synthetic Image Focus Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kazuya Kodama
    • 1
  • Hiroshi Mo
    • 1
  • Akira Kubota
    • 2
  1. 1.Research Organization of Information and SystemsNational Institute of InformaticsTokyoJapan
  2. 2.Interdisciplinary Graduate School of Science and EngineeringTokyo Institute of TechnologyYokohamaJapan

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