20 April 2015 Accurate identification of saturated pixels for high dynamic range measurement
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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, Shuaijun Wang, Wei Wu, 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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