One-for-all: Support-free optimized Fourier random phase for real-time multiple kinoforms generation

Abstract

Existing optimized random phase (ORAP) approach mainly face the limitations of fixed supports. Different ORAPs need to be generated for different target images with different support sizes, thus lacking flexibility and severely limiting applicability. This paper proposes a Support-Free Optimized Fourier Random Phase (SF-OFRAP) approach for non-iterative kinoform generation, greatly improves the speed and flexibility of generating kinoforms, and can achieve comparable performance to the ORAP approach. The proposed SF-OFRAP approach not only breaks the fixed support constraint of a target image, but can generate kinoforms of target images with different shapes, different positions, etc. with arbitrary supports. Our proposed SF-OFRAP approach can achieve real-time generation of kinoforms for multi-view holographic display using only a single generated SF-OFRAP without the need for additional phase compensation. The SF-OFRAP approach is suitable for real-time holographic display. Experiments verified the superiority of the produced SF-OFRAP over the ORAP method in terms of flexibility and adaptability to multiple different objects in different positions and different shapes using only one kind. The experimental results verify the effectiveness and excellent flexibility of SF-OFRAP for video holographic display and multi-view holographic display.