James Leger, Editor-in-Chief
Xin Jin, Li Liu, and Qionghai Dai
Xin Jin,* Li Liu, and Qionghai Dai
Key Lab of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University of Shenzhen, 518055, China
*Corresponding author: firstname.lastname@example.org
Recovering the real light field, including the light field intensity distributions and continuous volumetric data in the object space, is an attractive and important topic with the developments in light-field imaging. In this paper, a blind light field reconstruction method is proposed to recover the intensity distributions and continuous volumetric data without the assistant of prior geometric information. The light field reconstruction problem is approximated to be a summation of the localized reconstructions based on image formation analysis. Blind volumetric information derivation is proposed based on backward image formation modeling to exploit the correspondence among the deconvoluted results. Finally, a light field is blindly reconstructed via the proposed inverse image formation approximation and wave propagation. We demonstrate that the method can blindly recover the light field intensity with continuous volumetric data. It can be further extended to other light field imaging systems if the backward image formation model can be derived.
© 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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Table 1 Spatial similarity measurement between the reconstructed intensity images at different depths
Table 2 Spatial similarity measurement between the reconstructed intensity images for “S” and “F”
Table 3 Spatial similarity measurement between images of “P,” “S,” and “F” reconstructed from noisy imaging result
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Spatial similarity measurement between the reconstructed intensity images at different depths
Spatial similarity measurement between the reconstructed intensity images for “S” and “F”
Spatial similarity measurement between images of “P,” “S,” and “F” reconstructed from noisy imaging result