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Holographic imaging of full-color real-existing three-dimensional objects with computer-generated sequential kinoforms

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Abstract

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).

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所属栏目:Holography

收稿日期:2010-11-10

录用日期:2010-12-14

网络出版日期:0001-01-01

作者单位    点击查看

郑华东:Department of Precision Mechanical Engineering, Shanghai University, Shanghai 200072, China
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

联系人作者:联系作者(yingjieyu@staff.shu.edu.cn)

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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