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26 November 2012 Rectification of gridline structure in integral image using radon transform and perspective transformation
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Abstract
Integral imaging is one of the most promising techniques for capturing and displaying the three-dimensional information of the object. Most integral image analysis and processing tasks require each elemental image can be identified with high precision, which is difficult to implement in a real pick-up process. For the acquisition of the three-dimensional information in integral imaging process, the lens array should be aligned precisely with respect to the CCD. In this paper, we present a method to accurately correct geometric distortions triggered by the misalignment between lens array and CCD. The method for calculating the skew angle of deviation and the accurate gridline structure in the three-dimensional integral images is based on the Radon Transform algorithm. Then using projective image transformation, the geometrical distortion in the elemental image set can be rectified. The size and position information of the rectified element images also can be calculated by the gridline structure, which will prevent the image splitting, shifting along the lateral or longitudinal direction, or blurring according to reconstruction distance in the optical or computational reconstruction process.
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Bi-yun Wang, Yang Song, and An-zhi He "Rectification of gridline structure in integral image using radon transform and perspective transformation", Proc. SPIE 8556, Holography, Diffractive Optics, and Applications V, 85561T (26 November 2012); https://doi.org/10.1117/12.999831
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