Paper
24 January 2011 Fidelity tolerance analysis for computational imaging system
Chuan-Chung Chang, Yung-Lin Chen, Kuang-Vu Chen, Hsiao-Yue Tsao, Hsin-Yueh Sung, Chir-Weei Chang, Po-Chang Chen, Horng Chang
Author Affiliations +
Proceedings Volume 7876, Digital Photography VII; 78760R (2011) https://doi.org/10.1117/12.871054
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
Computational imaging has been using for depth of field extension, distance estimation and depth map for stereo imaging and displaying with great successfully, which are realized by using special designed imaging lens and optimized image post-processing algorithm. Several special coding structures have been presented, like cubic, generalized cubic, logarithmic, exponential, polynomial, spherical and others. And different image post-processing algorithms like Wiener filter, SVD method, wavelet transform, minimum mean square error method and others are applied to achieve jointly-optimization. Although most of studies have shown excellent invariant of optical transfer function for imaging lens, but such invariance will be unsatisfied when manufacturing errors are considered. In this paper, we present a method to consider behavior of tolerance in computational imaging system from pure optical to optical - digital, which means lens and image post-processing are both included. An axial irradiance equalization phase coded imaging system is illustrated for tolerance sensitivity by using similarity of point spread function (PSF), Strehl ratio (SR), and root mean square error (RMSE) of restored images. Finally, we compare differences between presented method and Zemax.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuan-Chung Chang, Yung-Lin Chen, Kuang-Vu Chen, Hsiao-Yue Tsao, Hsin-Yueh Sung, Chir-Weei Chang, Po-Chang Chen, and Horng Chang "Fidelity tolerance analysis for computational imaging system", Proc. SPIE 7876, Digital Photography VII, 78760R (24 January 2011); https://doi.org/10.1117/12.871054
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KEYWORDS
Tolerancing

Point spread functions

Imaging systems

Image restoration

Computational imaging

Computing systems

Image filtering

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