Abstract
In the conventional weighted Gerchberg-Saxton (GS) algorithm, the feedback is used to accelerate the convergence. However, it will lead to the iteration divergence. To solve this issue, an adaptive weighted GS algorithm is proposed in this paper. By replacing the conventional feedback with our designed feedback, the convergence can be ensured in the proposed method. Compared with the traditional GS iteration method, the proposed method improves the peak signal-noise ratio of the reconstructed image with 4.8 dB on average. Moreover, an approximate quadratic phase is proposed to suppress the artifacts in optical reconstruction. Therefore, a high-quality image can be reconstructed without the artifacts in our designed Argument Reality device. Both numerical simulations and optical experiments have validated the effectiveness of the proposed method.
Highlights
Holographic display, as one of the ideal three-dimensional display technologies, has been given strong attention in several decades since it can provide the depth clues of the 3-D scene and does not cause the vergence-accommodation conflict [1,2]
The GS algorithm based on the forward propagation and backward propagation of the light field is performed by the Fast Fourier Transformation (FFT)
We propose an approximation algorithm that uses a set of plane wave with discrete directions to approximate the quadratic phase for suppressing the appearance of artifacts, which can weaken the effect of the quadratic phase
Summary
Holographic display, as one of the ideal three-dimensional display technologies, has been given strong attention in several decades since it can provide the depth clues of the 3-D scene and does not cause the vergence-accommodation conflict [1,2]. Various non-iterative methods have been proposed to enhance the reconstruction quality of the POH, such as the double-phase (DPH) method [13,14,15,16,17], error diffusion method [18,19], and time-division multiplexing method [20,21,22,23]. These methods have significantly improved the reconstruction quality. The time-division multiplexing method needs a SLM with a high frame rate, which increases the costs of the system
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
