An optimization algorithm for binary amplitude-only hologram (BAOH) based on the point source method (PSM) with the holographic viewing window (HVW) by using particle swarm optimization (PSO) is proposed. We convert the 256 grayscale levels of each pixel of the original image into an 8-bit binary format and sequentially extract the effective bits of each pixel to generate eight frames of binary original images. Then we introduce random constant phases to be optimized on the wavefront phase of the point source to superimpose the wavefront and generate a grayscale hologram with Burch encoding and binarize it. PSO algorithm is used to search for the optimized constant phase (OCPs) corresponding to each point source wavefront to generate an optimized BAOH. The grayscale representation of the reconstructed image is achieved by sequentially loading eight frames of BAOH on the digital micromirror device (DMD) while controlling the pulse width doubling the illumination of the laser. Simulation results show that the speckle noise of the reconstructed image using the proposed method is significantly suppressed compared with that using the random phase method (RPM), which demonstrates the feasibility of the proposed method.
A methodology of assessing a three-dimensional (3D) reconstructed image quality objectively for computergenerated holographic 3D display based on evaluating the reconstructed optical field is proposed. According to the concept of ‘holographic view-window’ (HVW), the point source method is used to calculate the ‘ideal’ Fresnel hologram and the precise diffraction field is numerically simulated after the 3D model is finely sampled. This accurate diffraction field is used as the evaluation criteria that can be regarded as ‘ground truth’. In comparison with the reconstructed images of the 3D diffraction field obtained by other common algorithms, such as point source method (PSM), Gerchberg-Saxton iterative (GS) algorithm and frequency-filtering method (FFM), the rationality of the evaluation function—the peak signal-to-noise ratio (PSNR) for the image quality assessment (IQA) of the 3D reconstructed diffraction field is investigated comprehensively at different reconstructed distances. The simulation results indicate that the PSNR is relatively reasonable for the evaluation of 3D reconstructed images taking into account the defocusing phenomena. The investigation would suggest an alternative optical scheme for the objective assessment of 3D image quality which provides a theoretical basis for the detection of holographic 3D image quality, the improvement of holographic 3D display algorithms and the design of the future spatial light modulator (SLM)
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