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Proceedings Paper

Single-shot depth camera lens design optimization based on a blur metric
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Paper Abstract

Computational imaging technology can capture extra information at the sensor and can be used for various photographic applications, including imaging with extended depth of field or depth extraction for 3D applications. The depth estimation from a single captured photograph can be achieved through a phase coded lens and image processing. In this paper, we propose a new method to design a phase coded lens, using a blur metric (BM) as the design criterion. Matlab and Zemax are used for the co-optimization of optical coding and digital image process. The purpose of the design is to find a curve for which the BM changes continuously and seriously within a distance range. We verified our approach by simulation, and got a axial symmetric phase mask as the coded lens. By using a pseudo-random pattern which contains uniform black and white patches as the input image, and the on-axis point spread function (PSF) calculated from Zemax, we can evaluate the BM of the simulated image which is convoluted by the pseudo-random pattern and PSF. In order to ensure the BM curve evaluated from the on-axis PSF represents the result of the whole field of view, the PSF is also optimized to get high off-axis similarity.

Paper Details

Date Published: 25 August 2010
PDF: 9 pages
Proc. SPIE 7787, Novel Optical Systems Design and Optimization XIII, 77870A (25 August 2010); doi: 10.1117/12.860343
Show Author Affiliations
Yung-Lin Chen, Industrial Technology Research Institute (Taiwan)
National Chiao Tung Univ. (Taiwan)
Chuan-Chung Chang, Industrial Technology Research Institute (Taiwan)
Ludovic Angot, Industrial Technology Research Institute (Taiwan)
Chir-Weei Chang, Industrial Technology Research Institute (Taiwan)
Chung-Hao Tien, National Chiao Tung Univ. (Taiwan)

Published in SPIE Proceedings Vol. 7787:
Novel Optical Systems Design and Optimization XIII
G. Groot Gregory; R. John Koshel, Editor(s)

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