Accurate identification of saturated pixels for high dynamic range measurement

Yunfei Long; Shuaijun Wang; Wei Wu; Kai Liu

doi:10.1117/1.OE.54.4.043106

20 April 2015 Accurate identification of saturated pixels for high dynamic range measurement

Yunfei Long, Shuaijun Wang, Wei Wu, Kai Liu

Author Affiliations +

Funded by: National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China, Natural Science Foundation of China, Science and Technology Support Program of Sichuan Province, China, ScienceTechnology Support Program of Sichuan Province

Optical Engineering, Vol. 54, Issue 4, 043106 (April 2015). https://doi.org/10.1117/1.OE.54.4.043106

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.

Citation Download Citation

Yunfei Long, Shuaijun Wang, Wei Wu, and Kai Liu "Accurate identification of saturated pixels for high dynamic range measurement," Optical Engineering 54(4), 043106 (20 April 2015). https://doi.org/10.1117/1.OE.54.4.043106

Published: 20 April 2015

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