Abstract
Image quality evaluation is a key factor in the advancement and improvement of display technology, which could lead to effective improvement through the evaluation result from various aspects to achieve the better result further. However, display principles and image characteristics should be considered for Image quality evaluation. For three-dimensional (3D) holograms, charge-coupled devices are mainly applied to capture and record reconstructed images for analysis. 3D holograms have multiple depths and thus can lead to varying light intensities at the information points of the reconstructed images during image acquisition. Finally, it will lead to poor analysis results. Aiming at the previously mentioned problem, an algorithm called three-dimensional structural similarity (3D-SSIM) is proposed in this study. It is expected to optimize hologram evaluation and analysis. A fixed-focus shooting system matching silhouette sampling and SSIM is proposed to sample objects with 360° in order to implement 3D SSIM evaluation. This study successfully optimized the hologram evaluation method, leading to more accurate image evaluation results of hologram algorithms or holographic display systems.
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