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).

© 2011 Chinese Optics Letters

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Appl. Opt. (4)

Chin. Opt. Lett. (2)

J. Display Technol. (1)

J. Opt. A: Pure Appl. Opt. (1)

T. Shimobaba, A. Shiraki, N. Masuda, and T. Ito, J. Opt. A: Pure Appl. Opt. 9, 757 (2007).

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U. Schnars and W. P. O. J¨uptner, Meas. Sci. Technol. 13, R85 (2002).

Opt. Commun. (1)

D. Alfieri, G. Coppola, S. De Nicola, P. Ferraro, A Finizio, G. Pierattini, and B. Javidi, Opt. Commun. 260, 113 (2006).

Opt. Eng. (2)

T. Yamaguchi, G. Okabe, and H. Yoshikawa, Opt. Eng. 46, 125801 (2007).

K. Takano and K. Sato, Opt. Eng. 46, 095801 (2007).

Opt. Express (9)

Opt. Lett. (3)

Optik (1)

H. Zheng, Y. Yu, and C. Dai, Optik 120, 431 (2009).

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