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Light Field Retrieval via Focus Variation

  • Runnan Zhang
  • Jiasong Sun
  • Chao ZuoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11902)

Abstract

Light field imaging is a new computational imaging method in recent years, which is a representation of full four-dimensional (4D) radiance of all rays with spatial and angular information in free space. However, most current light field imaging systems are limited by the contradiction between spatial resolution and angular resolution, that is, trading spatial resolution for angular resolution. In this paper, we present a full resolution light field microscopy technique based on 3D intensity transport. The advantage of our method is that it does not sacrifice spatial resolution, and the reconstructed light field is of full resolution, comparable to that of the image sensor itself. First, a non-linear iterative reconstruction algorithm is proposed to reconstruct the full resolution light field from the 3D intensity stack which is captured by axial scanning. Then, we investigate the key factors that influence the quality of the reconstructed 4D light field, which is proved to be related to the number of reconstructed viewing angles and the number of captured images of each stack. Finally, experiments are carried out with real 3D samples, and the above methods are tested and evaluated with simple two-layer samples and complex multi-layer samples as Cyclops and Drosophila. The reliability and accuracy of our method are verified by simulation and experimental results.

Keywords

Light field microscopy imaging Three-dimensional intensity transport Nonlinear optimization 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Electronic and Optical EngineeringNanjing University of Science and TechnologyNanjingChina
  2. 2.Smart Computational Imaging (SCI) LaboratoryNanjing University of Science and TechnologyNanjingChina
  3. 3.Jiangsu Key Laboratory of Spectral Imaging and Intelligent SenseNanjing University of Science and TechnologyNanjingChina

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