Research on a text information security protection method based on computer-generated holograms

• Qiuyang Wang, Ge Aiming, Chen Xindi, Jiangbo Wu, Shuo Liu, and Zhu Dongsheng
• received 03/11/2024; accepted 04/22/2024; posted 04/24/2024; Doc. ID 523616
• Abstract: Currently, computer-generated holograms (CGH) basedon ray tracing technology are generated faster and faster,and the reconstructed scenes are getting bigger and bigger and contain more and more information. Based onthis situation there are also more applications of usingCGH to hide information, but there is a lack of researchon the ability to hide information. To address this issue, this paper proposes a point-sampling CGH methodbased on ray tracing. Our method utilizes ray tracingtechniques to rapidly sample text information at different depths in the scene and hides the depth-encoded textinformation in the carrier image using discrete cosinetransform (DCT). The reconstructed image after embedding shows good results, with a peak signal-to-noiseratio (PSNR) of 29.56 dB between the hidden images before and after embedding. The PSNR value between theembedded carrier image and the original carrier image is51.66 dB, making it difficult for the human eye to distinguish, thereby effectively protecting the generated CGH.We also analyzed the maximum information density andobserved that computational holograms obtain the maximum information density at 200×200 resolution.