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Shearlet-domain light field reconstruction for holographic stereogram generation

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Shearlet-domain light field reconstruction for holographic stereogram generation. / Sahin, Erdem; Vagharshakyan, Suren; Mäkinen, Jani; Bregovic, Robert; Gotchev, Atanas.

2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. p. 1479-1483.

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

Harvard

Sahin, E, Vagharshakyan, S, Mäkinen, J, Bregovic, R & Gotchev, A 2016, Shearlet-domain light field reconstruction for holographic stereogram generation. in 2016 IEEE International Conference on Image Processing (ICIP). IEEE, pp. 1479-1483, IEEE International Conference on Image Processing, 1/01/00. https://doi.org/10.1109/ICIP.2016.7532604

APA

Sahin, E., Vagharshakyan, S., Mäkinen, J., Bregovic, R., & Gotchev, A. (2016). Shearlet-domain light field reconstruction for holographic stereogram generation. In 2016 IEEE International Conference on Image Processing (ICIP) (pp. 1479-1483). IEEE. https://doi.org/10.1109/ICIP.2016.7532604

Vancouver

Sahin E, Vagharshakyan S, Mäkinen J, Bregovic R, Gotchev A. Shearlet-domain light field reconstruction for holographic stereogram generation. In 2016 IEEE International Conference on Image Processing (ICIP). IEEE. 2016. p. 1479-1483 https://doi.org/10.1109/ICIP.2016.7532604

Author

Sahin, Erdem ; Vagharshakyan, Suren ; Mäkinen, Jani ; Bregovic, Robert ; Gotchev, Atanas. / Shearlet-domain light field reconstruction for holographic stereogram generation. 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. pp. 1479-1483

Bibtex - Download

@inproceedings{99afcb3c0b0649c9b10c92f32b49fabf,
title = "Shearlet-domain light field reconstruction for holographic stereogram generation",
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",
author = "Erdem Sahin and Suren Vagharshakyan and Jani M{\"a}kinen and Robert Bregovic and Atanas Gotchev",
note = "INT=sgn,{"}M{\"a}kinen, Jani{"}",
year = "2016",
month = "8",
day = "19",
doi = "10.1109/ICIP.2016.7532604",
language = "English",
publisher = "IEEE",
pages = "1479--1483",
booktitle = "2016 IEEE International Conference on Image Processing (ICIP)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Shearlet-domain light field reconstruction for holographic stereogram generation

AU - Sahin, Erdem

AU - Vagharshakyan, Suren

AU - Mäkinen, Jani

AU - Bregovic, Robert

AU - Gotchev, Atanas

N1 - INT=sgn,"Mäkinen, Jani"

PY - 2016/8/19

Y1 - 2016/8/19

N2 - 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.

AB - 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.

KW - Cameras

KW - Image reconstruction

KW - Image resolution

KW - Interpolation

KW - Reconstruction algorithms

KW - Rendering (computer graphics)

KW - Three-dimensional displays

KW - Holographic stereogram

KW - light field

KW - shearlet

KW - sparse reconstruction

U2 - 10.1109/ICIP.2016.7532604

DO - 10.1109/ICIP.2016.7532604

M3 - Conference contribution

SP - 1479

EP - 1483

BT - 2016 IEEE International Conference on Image Processing (ICIP)

PB - IEEE

ER -