Efficient digital holographic 3d human image reconstruction and improvement on mobile devices
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Efficient digital holographic 3d human image reconstruction and improvement on mobile devices Chung-Hua Chu1 Received: 20 February 2019 / Revised: 14 May 2020 / Accepted: 22 May 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Advanced digital holography attracts a lot of attentions for 3D visualization nowadays. The representation of high-resolution digital holographic 3D human images suffers from computational inefficiency on the mobile devices due to the limited hardware for digital holographic processing. Specifically, to reconstruct the high-quality holographic image needs to compensate for the phase aberration, which needs lots of expensive optical hardware components to acquire measurements such as different axial distances, illumination angles, wavelengths, polarization states, and so on. To reduce computational complexity in digital holographic 3D human image reconstruction, we propose an efficient and effective algorithm to simplify Fresnel transforms for the mobile devices. Our algorithm reduces the number of FFTs and fastens the calculation of the exponential function in the Fresnel integral for the digital holography image reconstruction. Specifically, we reformulate the Fresnel integral and use a polynomial approximation to approximate the exponential function. In the holographic image quality improvement, we modify a maximum a posteriori (MAP) estimation to improve the quality of the reconstructed holographic 3D image restoration. Our algorithm outperforms previous approaches in not only smaller running time but also the better quality of the digital holographic 3D human image representation for the mobile devices. Keywords Digital holographic image reconstruction · Mobile devices · Image restoration · Hologram
1 Introduction Digital holography [3] enables PC to record and to represent the 3D information of real world objects by capturing their illuminated part and desired perspectives. The recorded 3D information of the object is called digital hologram. The digital holographic 3D human
Chung-Hua Chu
[email protected] 1
Department of Multimedia Design, National Taichung University of Science and Technology, Taichung, Taiwan
Multimedia Tools and Applications
image can be constructed by propagating the wave field to the digital hologram with the theory of diffraction. Different from AR (Augmented Reality) and VR (Virtual Reality), the digital holography can represent a more real 3D object with the recorded illuminated and perspective information of a real scene. In recent years, the digital holography has been a promising technology for various 3D visual applications. For example, Microsoft 10 has launched its own holographic headset HoloLens to interact with virtual objects appearing in your real world [34]. The digital holography is thereby becoming popular in the visual entertainments and video games. Since the optical diffraction on the digital hologram leads to large computational complexity, the digital holographic 3D human image reconstruction suff
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