Error reduction for the high-contrast regions in phase measuring profilometry

Phase measuring profilometry is a method for measuring the 3D profile of objects. The method is known for its accuracy and high speed. In real world applications, however, the 3D reconstructions of the high-contrast regions have large measurement errors due to the smoothing effect by digital cameras. In this paper, we model the smoothing as a mathematical smooth mask applying process. Accordingly, we propose a novel de-convolution method specified for recovering the phase in the high-contrast regions. The experimental results demonstrate that, compared with the traditional method, the new method improves the measurement accuracy by 2.5 times in the high-contrast regions.