Phase Optimized Computer-Generated Holographic Video Calculation With Frame Interpolation Using Gradient Descent Algorithm

Computer-generated holography (CGH) has been anticipated in augmented reality (AR) field since it can fully provide multi-depth 3D information to users. As the gradient descent algorithms have been developed and intensively applied to the holography, traditional challenges in CGH, such as speckle noises and excessive computation load, have been overcome for a given object. However, despite the widespread consumption form of media contents, studies for the frame interpolation of high-quality computer-generated holographic video (CGHV) has not been substantially conducted yet. Here, we demonstrate a method for rapid calculation of speckle-free, frame interpolated CGHV using stochastic gradient descent algorithm, both in numerical and experimental results. We demonstrate that the similarity between input and target images is related to a speed of convergence to desired image quality levels, and our method enables the generation of interpolated frames with controlled intensity ratios during the optimization process. Our proposed method can reduce the burden of computation for high-quality CGHV, so that it can be potentially used for holographic display and AR applications such as AR head-up display in automobile.