20 April 2015 Accurate identification of saturated pixels for high dynamic range measurement
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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.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yunfei Long, Yunfei Long, Shuaijun Wang, Shuaijun Wang, Wei Wu, Wei Wu, Kai Liu, 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 . Submission:
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