An Improved Algorithm for Real-Time Dual-View Display

Wenjie Sun, Zhongpai Gao, Guangtao Zhai, Jiahe Zhang, Zhaodi Wang, Yucheng Zhu

Abstract: Dual-view display based on spatial psychovisual modulation (SPVM) aims to present two different views on a single screen. Users with special glasses see a personal view. Users without special glasses see a shared view which can be completely irrelevant to the personal view. This dual-view display technology can be used for information security, QR hiding, education, etc. In this paper, we propose an improved algorithm called pseudo-inv algorithm, using the pseudo-inverse method to solve the optimization problem. Moreover, a new Gaussian integration window and a new method to adjust the luminance range, are implemented for a better personal view. The experiments prove that the new algorithm results in a better image quality of both the shared view and the personal view. The time cost of the new algorithm is much less than that of the previous algorithms.