Kim Seung-Cheol, Yoon Jung-Hoon, Kim Eun-Soo
3D Display Research Center, Department of Electronic Engineering, Kwangwoon University, 447-1 Wolge-Dong, Nowon-Gu, Seoul 139-701, Korea.
Appl Opt. 2008 Nov 10;47(32):5986-95. doi: 10.1364/ao.47.005986.
Even though there are many types of methods to generate CGH (computer-generated hologram) patterns of three-dimensional (3D) objects, most of them have been applied to still images but not to video images due to their computational complexity in applications of 3D video holograms. A new method for fast computation of CGH patterns for 3D video images is proposed by combined use of data compression and lookup table techniques. Temporally redundant data of the 3D video images are removed with the differential pulse code modulation (DPCM) algorithm, and then the CGH patterns for these compressed videos are generated with the novel lookup table (N-LUT) technique. To confirm the feasibility of the proposed method, some experiments with test 3D videos are carried out, and the results are comparatively discussed with the conventional methods in terms of the number of object points and computation time.
尽管有多种方法可生成三维（3D）物体的计算全息图（CGH）图案，但由于在3D视频全息图应用中的计算复杂性，它们大多已应用于静态图像而非视频图像。通过结合使用数据压缩和查找表技术，提出了一种用于快速计算3D视频图像CGH图案的新方法。利用差分脉冲编码调制（DPCM）算法去除3D视频图像中的时间冗余数据，然后使用新型查找表（N-LUT）技术生成这些压缩视频的CGH图案。为了确认所提方法的可行性，对测试3D视频进行了一些实验，并从物点数量和计算时间方面与传统方法进行了比较讨论。
