Efficient generation of CGH of 3-D objects by use of run-length encoding and look-up table methods

Abstract

In this paper, we propose a new approach for fast generation of computer-generated holograms (CGHs) of a 3-D object by using the run-length encoding (RLE) and the novel look-up table (N-LUT) methods. With the RLE method spatially redundant data of a 3-D object are extracted and re-grouped into the N-point redundancy map according to the number of the adjacent object points having the same 3-D value. Then, basing on this redundancy map N-point principle fringe patterns (PFPs) are newly calculated by using the 1-point PFP of the N-LUT (novel look-up table) and the CGH pattern for the 3-D object is generated with these N-point PFPs. In this approach, object points to be involved in calculation of the CGH pattern can be dramatically reduced and as a result an increase of computational speed can be obtained. Some experiments with a test 3-D object are carried out and the results are compared to those of the conventional methods.