Phase space framework enables a variable-scale diffraction model for coherent imaging and display
Zhi Li (1, 2), Xuhao Luo (3), Jing Wang (2), Xin Yuan (4), Dongdong, Teng (1), Qiang Song (2), Huigao Duan (2) ((1) Sun Yat-sen University, (2), Greater Bay Area Institute for Innovation, Hunan University, (3) Tongji, University, (4) Westlake University)

TL;DR
This paper introduces a phase space framework that enables variable-scale diffraction calculations, improving holographic imaging and display by allowing flexible image plane sizing and high-fidelity 3D reconstructions.
Contribution
It presents a universal, high-dimensional phase space method for customizable diffraction computation, addressing fixed-size limitations in traditional Fourier optics techniques.
Findings
Validated variable-scale diffraction model with robust capabilities.
Achieved high-fidelity full-color holography with automatic aberration correction.
Demonstrated superior 3D reconstruction and nanoscale holography applications.
Abstract
The fast algorithms in Fourier optics have invigorated multifunctional device design and advanced imaging technologies. However, the necessity for fast computations has led to limitations in the widely used conventional Fourier methods, manifesting as fixed size image plane at a certain diffraction distance. These limitations pose challenges in intricate scaling transformations, 3D reconstructions and full-color displays. Currently, there is a lack of effective solutions, often resorting to pre-processing that compromise fidelity. In this paper, leveraging a higher-dimensional phase space method, we present a universal framework allowing for customized diffraction calculation methods. Within this framework, we establish a variable-scale diffraction computation model which allows the adjustment of the size of the image plane and can be operated by fast algorithms. We validate the model's…
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Taxonomy
TopicsAdvanced Optical Imaging Technologies · Photorefractive and Nonlinear Optics · Random lasers and scattering media
