Hybrid pixel mapping reconstruction method of axially moving lenslet array in integral imaging with arbitrary moving gap

Yaoyao Wang; Juan Zhang; Xuewei Zhao; Bo Zhang; Lipei Song; Xing Zhao

doi:10.1117/1.OE.57.6.061620

30 May 2018 Hybrid pixel mapping reconstruction method of axially moving lenslet array in integral imaging with arbitrary moving gap

Yaoyao Wang, Juan Zhang, Xuewei Zhao, Bo Zhang, Lipei Song, Xing Zhao

Author Affiliations +

Optical Engineering, Vol. 57, Issue 6, 061620 (May 2018). https://doi.org/10.1117/1.OE.57.6.061620

Abstract

A reconstruction method of axially moving lenslet array (AMLA) was proposed. First, the dot-pattern reconstructed image was generated from a set of AMLA-recorded EIs using pixel-to-pixel mapping. Then, the empty pixels of dot-pattern reconstructed image can be filled by the average of the intensity values of all pixels that are corresponding to the empty pixels in each EI and determined through back projection. Using this proposed method, not only can the empty pixels be eliminated, but also the image quality is higher than conventional interpolation. Moreover, the axially moving gap can also be arbitrary, which breaks the limitation of the strict interpolation-free condition of the conventional reconstruction method. The feasibility of this method was verified by simulations and optical experiments.

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Yaoyao Wang, Juan Zhang, Xuewei Zhao, Bo Zhang, Lipei Song, and Xing Zhao "Hybrid pixel mapping reconstruction method of axially moving lenslet array in integral imaging with arbitrary moving gap," Optical Engineering 57(6), 061620 (30 May 2018). https://doi.org/10.1117/1.OE.57.6.061620

Received: 27 October 2017; Accepted: 14 May 2018; Published: 30 May 2018

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