Efficient generation of holographic video of 3D objects by use of redundancy of image and look-up table methods

Abstract

In this paper, a new method for efficient generation of video hologram for 3-D video is proposed by combined use of redundant data of 3-D video and look-up table techniques. That is, 3-D video is a collection of sequential 3-D images having depth data as well as intensity and neighboring moving pictures in the 3-D video differ slightly from each other. Therefore, a method for fast computation of CGH patterns for 3-D video images is proposed by combined use of temporal redundancy and look-up table techniques. Further more, adjacent pixels of a 3-D image have very similar values of intensity and depth and some of them even have the exactly same values of them each other. In other words, a 3-D image has a spatial redundancy in intensity and depth data. Therefore, a method for fast computation of CGH patterns for the 3-D image by taking into account of the spatial redundancy of the 3-D image is proposed. To confirm the feasibility of the proposed method, some experiments with a 3-D test object are carried out and the results are compared to those of the conventional methods in terms of a computational speed and a required memory size.