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Shearlet-domain light field reconstruction for holographic stereogram generation

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2016 IEEE International Conference on Image Processing (ICIP)
PublisherIEEE
Pages1479-1483
Number of pages5
ISBN (Electronic)978-1-4673-9961-6
DOIs
Publication statusPublished - 19 Aug 2016
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Image Processing -
Duration: 1 Jan 1900 → …

Publication series

Name
ISSN (Electronic)2381-8549

Conference

ConferenceIEEE International Conference on Image Processing
Period1/01/00 → …

Abstract

Holographic stereograms (HSs) constitute one of the most widely used types of computer-generated holograms. The scene information required to calculate the HSs can be acquired by conventional digital cameras. It is, however, usually required that the scene should be captured from dense set of view points. Therefore, relieving this requirement is critical in the sense of easing the capture process. In this paper, in the capture stage of holographic stereograms, we employ our previously presented light field reconstruction algorithm [1], where we utilize sparse representation of light fields in the shearlet domain and reconstruct dense light fields from their highly under-sampled versions. The simulation results demonstrate that we can relieve the dense view sampling requirement of HSs, e.g. by as high as 8 ? 8 sub-sampling factor, and still keep the perceived image quality of holographic reconstructions at satisfactory levels. This enables, for example, replacing the scanning camera setups with the more convenient multi-camera arrangements.

Keywords

  • Cameras, Image reconstruction, Image resolution, Interpolation, Reconstruction algorithms, Rendering (computer graphics), Three-dimensional displays, Holographic stereogram, light field, shearlet, sparse reconstruction

Publication forum classification

Field of science, Statistics Finland