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

Yung Lin Chen*, Chuan Chung Chang, Ludovic Angot, Chir Weei Chang, Chung-Hao Tien

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


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.

Original languageEnglish
Title of host publicationNovel Optical Systems Design and Optimization XIII
StatePublished - 2010
EventNovel Optical Systems Design and Optimization XIII - San Diego, CA, United States
Duration: 2 Aug 20105 Aug 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceNovel Optical Systems Design and Optimization XIII
Country/TerritoryUnited States
CitySan Diego, CA


  • Axial symmetric
  • Blur metric
  • Depth estimation
  • Phase coded


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