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Image processing for simulating the reconstructed images of holographic stereogram based on synthetic parallax images
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Paper Abstract

In this paper, image processing technology is used to simulate the reconstructed images of holographic stereogram in different depth planes. The quality of the reconstructed image of a single hogel at different depths is analyzed firstly. The size of the hogel, the distance between the holographic stereogram and the LCD and the distance between the holographic stereogram and the imaging plane are all factors affecting the quality of the reconstructed image. By dividing the hogel into many sub-parts, the reconstructed images of each sub-parts are analyzed one by one, and by superimposing the reconstructed images of each sub-parts, the reconstructed images of the hogel at different depths can be obtained. Then, the relationship between the reconstructed images of each hogel is analyzed, and the reconstructed images of all hogels are translated and superimposed to obtain the reconstructed images of the holographic stereogram in different depth. The synthetic parallax images generated by using the effective perspective image segmentation and mosaicking (EPISM) algorithm proposed by our group are used to print the holographic stereogram. The experiment results show that the reconstructed images of the stereogram in different depth planes are consistent with the simulation results, which verifies the validation of the simulation.

Paper Details

Date Published: 18 December 2019
PDF: 10 pages
Proc. SPIE 11335, AOPC 2019: Display Technology and Optical Storage, 113350K (18 December 2019); doi: 10.1117/12.2548004
Show Author Affiliations
Teng Zhang, Academy of Armored Forces (China)
Xingpeng Yan, Academy of Armored Forces (China)
Fan Fan, Academy of Armored Forces (China)
Xi Wang, Academy of Armored Forces (China)
Chenqing Wang, Academy of Armored Forces (China)
Xiaoyu Jiang, Academy of Armored Forces (China)


Published in SPIE Proceedings Vol. 11335:
AOPC 2019: Display Technology and Optical Storage
Byoungho Lee; Yongtian Wang; Xiaodi Tan, Editor(s)

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