KEYWORDS: Holography, 3D acquisition, 3D displays, Cameras, Speckle, Wavefronts, Integral imaging, Image resolution, Computer generated holography, 3D image processing
It is well known that holographic display can provide 3D scenes with continuous viewpoints and is free of accommodation-convergence conflict. So far most of the research in this area focuses on the display end, leaving the acquisition end merely explored. For holographic content acquisition, one needs to capture the scene in 3D. Ways to do this include the traditional optical holography and integral imaging. However, optical holography suffers from serious speckle while integral imaging has a long march to increase the resolution. In this paper, we propose a technique based on a variation of the transport of intensity equation to calculate the “phase” information of a scene from its defocusd intensity captured by a color camera under white light illumination. With the defocused phase and intensity data at hand, we can calculate the infocused wavefront of the scene, and further encode it into a computer generated hologram for subsequent holographic display. We demonstrate the proposed technique by simulation and experimental results. Compared with existing 3D acquisition techniques for holographic display, our method may provide better viewing experience due to the free of speckle in the acquisition stage, as well as the fact that the resolution does not limited by the microlenslet.
One method of realizing color holographic imaging using one thin diffractive optical element (DOE) is proposed. This
method can reconstruct a two-dimensional color image with one phase plate at user defined distance from DOE. For
improving the resolution ratio of reproduced color images, the DOE is optimized by combining Gerchberg-Saxton
algorithm and compensation algorithm. To accelerate the computational process, the Graphic Processing Unit (GPU) is used.
In the end, the simulation result was analyzed to verify the validity of this method.
Phase contains important information about the diffraction or scattering property of an object, and therefore
the imaging of phase is vital to many applications including biomedicine and metrology, just name a few.
However, due to the limited bandwidth of image sensors, it is not possible to directly detect the phase of an
optical field. Many methods including the Transport of Intensity Equation (TIE) have been well demonstrated
for quantitative and non-interferometric imaging of phase. The TIE offers an experimentally simple technique
for computing phase quantitatively from two or more defocused images. Usually, the defocused images were
experimentally obtained by shifting the camera along the optical axis with slight intervals. Note that light
field imaging has the capability to take an image stack focused at different depths by digital refocusing the
captured light field of a scene. In this paper, we propose to combine Light Field Microscopy and the TIE
method for phase imaging, taking the digital-refocusing advantage of Light Field Microscopy. We demonstrate
the propose technique by simulation results. Compare with the traditional camera-shifting technique, light-field
imaging allows the capturing the defocused images without any mechanical instability and therefore demonstrate
advantage in practical applications.
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