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Optical Engineering

Accurate identification of saturated pixels for high dynamic range measurement
Author(s): Yunfei Long; Shuaijun Wang; Wei Wu; Kai Liu
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Paper Abstract

Measuring surfaces with high reflectivity variation via structured light illumination requires accurately identifying saturated pixels in captured images. However, conventional methods simply determine saturation by intensities, which is susceptible to a camera blurring effect and random noise. To solve this problem, we present a method that uses the magnitude of a nonprincipal frequency component to identify saturated pixels. Experimental results demonstrate that 1) higher accuracy of three-dimensional reconstruction can be achieved and 2) high-contrast surfaces can be accurately reconstructed.

Paper Details

Date Published: 20 April 2015
PDF: 7 pages
Opt. Eng. 54(4) 043106 doi: 10.1117/1.OE.54.4.043106
Published in: Optical Engineering Volume 54, Issue 4
Show Author Affiliations
Yunfei Long, Sichuan Univ. (China)
Shuaijun Wang, Sichuan Univ. (China)
Wei Wu, Sichuan Univ. (China)
Kai Liu, Sichuan Univ. (China)


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