A TV regularisation sparse model for light field reconstruction

Shan Gao; Yuhan Liu; Gangrong Qu

doi:10.1364/3D.2021.3Th7E.5

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper 3Th7E.5
•https://doi.org/10.1364/3D.2021.3Th7E.5

A TV regularisation sparse model for light field reconstruction

Shan Gao, Yuhan Liu, and Gangrong Qu

3D Image Acquisition and Display: Technology, Perception and Applications 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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3D Imaging Applications II (3Th7E)

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S. Gao, Y. Liu, and G. Qu, "A TV regularisation sparse model for light field reconstruction," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper 3Th7E.5.

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Abstract

We present an alternating direction method of multipliers algorithm(ADMM) based on total variation(TV) regularisation for the light field reconstruction from the focal stack data. Experiments show the proposed method is effective using refocusing measure.

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