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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