23 November 2019 Adaptive periodic δ-function array-based three-dimensional optical refocusing from elemental image array
Lingyu Ai, Xiao Shi, Zhiqiang Yan, Cheng Liu, Shouyu Wang
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Abstract

In order to optically refocus three-dimensional (3-D) objects on their real depths, we design an adaptive periodic δ-function array (A-PDFA)-based 3-D optical refocusing method. An A-PDFA kernel with adaptively determined impulse number is first generated, and next by convolving this A-PDFA with the elemental image array (EIA) captured using an integral imaging system, the depth-filtered EIA is obtained to finally refocus the objects on their real depths. Based on simulations and experiments, the performance of the A-PDFA-based 3-D optical refocusing method is confirmed with the widest effective process zone and the highest image quality compared to other classical 3-D optical refocusing methods. Thus, it is believed the proposed method potentially can be used in various 3-D imaging and display applications.

© 2019 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2019/$28.00 © 2019 SPIE
Lingyu Ai, Xiao Shi, Zhiqiang Yan, Cheng Liu, and Shouyu Wang "Adaptive periodic δ-function array-based three-dimensional optical refocusing from elemental image array," Optical Engineering 58(11), 113106 (23 November 2019). https://doi.org/10.1117/1.OE.58.11.113106
Received: 21 July 2019; Accepted: 6 November 2019; Published: 23 November 2019
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KEYWORDS
3D image processing

Image quality

3D image reconstruction

Adaptive optics

3D displays

Imaging systems

Cameras

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