Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Three-Dimensional Photon Counting Imaging with Enhanced Visual Quality

  • Lee, Jaehoon (Department of Computer Science and Networks, Kyushu Institute of Technology) ;
  • Lee, Min-Chul (Department of Computer Science and Networks, Kyushu Institute of Technology) ;
  • Cho, Myungjin (School of ICT, Robotics, and Mechanical Engineering, IITC, Hankyong National University)
  • Received : 2021.04.13
  • Accepted : 2021.05.28
  • Published : 2021.09.30
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Abstract

In this paper, we present a computational volumetric reconstruction method for three-dimensional (3D) photon counting imaging with enhanced visual quality when low-resolution elemental images are used under photon-starved conditions. In conventional photon counting imaging with low-resolution elemental images, it may be difficult to estimate the 3D scene correctly because of a lack of scene information. In addition, the reconstructed 3D images may be blurred because volumetric computational reconstruction has an averaging effect. In contrast, with our method, the pixels of the elemental image rearrangement technique and a Bayesian approach are used as the reconstruction and estimation methods, respectively. Therefore, our method can enhance the visual quality and estimation accuracy of the reconstructed 3D images because it does not have an averaging effect and uses prior information about the 3D scene. To validate our technique, we performed optical experiments and demonstrated the reconstruction results.

Keywords

Acknowledgement

This work was supported by a research grant from Hankyong National University for an academic exchange program in 2018.

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