Holographic imaging of full-color real-existing three-dimensional objects with computer-generated sequential kinoforms
We propose a computational method for generating sequential kinoforms of real-existing full-color threedimensional (3D) objects and realizing high-quality 3D imaging. The depth map and color information are obtained using non-contact full-color 3D measurement system based on binocular vision. The obtained full-color 3D data are decomposed into multiple slices with RGB channels. Sequential kinoforms of each channel are calculated and reconstructed using a Fresnel-diffraction-based algorithm called the dynamicpseudorandom-phase tomographic computer holography (DPP-TCH). Color dispersion introduced by different wavelengths is well compensated by zero-padding operation in the red and green channels of object slices. Numerical reconstruction results show that the speckle noise and color-dispersion are well suppressed and that high-quality full-color holographic 3D imaging is feasible. The method is useful for improving the 3D image quality in holographic displays with pixelated phase-type spatial light modulators (SLMs).
王涛：Department of Precision Mechanical Engineering, Shanghai University, Shanghai 200072, China
代林茂：Department of Precision Mechanical Engineering, Shanghai University, Shanghai 200072, China
于瀛洁：Department of Precision Mechanical Engineering, Shanghai University, Shanghai 200072, China
备注：This work was supported by the National Natural Science Foundation of China (No. 60772124), the International Cooperation Project of Science and Technology Commission of Shanghai Municipality (No.09530708700), and the Shanghai University Innovation Funds for Graduates (Nos. SHUCX101060 and SHUCX102195).
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Huadong Zheng, Tao Wang, Linmao Dai, Yingjie Yu, "Holographic imaging of full-color real-existing three-dimensional objects with computer-generated sequential kinoforms," Chinese Optics Letters 9(4), 040901 (2011)