Imaging Components, Systems, and Processing

Accurate identification of saturated pixels for high dynamic range measurement

[+] Author Affiliations
Yunfei Long, Shuaijun Wang, Kai Liu

Sichuan University, School of Electrical Engineering and Information, #24 South Section 1, Yihuan Road, Chengdu, Sichuan Province 610065, China

Wei Wu

Sichuan University, College of Electronics and Information Engineering, Department of Radio Electronics, #24 South Section 1, Yihuan Road, Chengdu, Sichuan Province 610065, China

Opt. Eng. 54(4), 043106 (Apr 20, 2015). doi:10.1117/1.OE.54.4.043106
History: Received February 5, 2015; Accepted March 25, 2015
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Topics

Sensors ; Cameras

Citation

Yunfei Long ; Shuaijun Wang ; Wei Wu and Kai Liu
"Accurate identification of saturated pixels for high dynamic range measurement", Opt. Eng. 54(4), 043106 (Apr 20, 2015). ; http://dx.doi.org/10.1117/1.OE.54.4.043106


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