期刊
APPLIED SCIENCES-BASEL
卷 13, 期 7, 页码 -出版社
MDPI
DOI: 10.3390/app13074466
关键词
computational hologram; color holographic reconstruction; three-dimensional image processing; Rayleigh-Sommerfeld algorithm; Taylor expansion
This paper addresses the problems of slow speed, low reconstruction quality, and high hardware resource consumption in real-time high quality full-color 3D display. It proposes the Taylor Rayleigh-Sommerfeld diffraction point cloud grid algorithm (TR-PCG), which performs Taylor expansion on the radial value of Rayleigh-Sommerfeld diffraction in the hologram generation stage and modifies the data type to effectively accelerate the calculation speed and ensure the reconstruction quality.
Real objects-based full-color holographic display systems usually collect data with a depth camera and then modulate the input light source to reconstruct the color three-dimensional scene of the real object. However, at present, the main problems of the real-time high quality full-color 3D display are slow speed, low reconstruction quality, and high consumption of hardware resources caused by excessive computing. Based on the hybrid Taylor Rayleigh-Sommerfeld diffraction algorithm and previous studies on full-color holographic systems, our paper proposes Taylor Rayleigh-Sommerfeld diffraction point cloud grid algorithm (TR-PCG), which is to perform Taylor expansion on the radial value of Rayleigh-Sommerfeld diffraction in the hologram generation stage and modify the data type to effectively accelerate the calculation speed and ensure the reconstruction quality. Compared with the wave-front recording plane, traditional point cloud gridding (PCG), C-PCG, and Rayleigh-Sommerfeld PCG without Taylor expansion, the computational complexity is significantly reduced. We demonstrate the feasibility of the proposed method through experiments.
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