Abstract

We have developed an output device for a computer-generated hologram (CGH) named a fringe printer, which can output a 0.35- μ m plane-type hologram. We also proposed several CGH with a fringe printer. A computer-generated rainbow hologram (CGRH), which can reconstruct a full color 3D image, is one of our proposed CGH. The resolution of CGRH becomes huge (over 50 Gpixels) due to improvement of the fringe printer. In the calculation, it is difficult to calculate the whole fringe pattern of CGRH at the same time by a general PC. Furthermore, since the fine pixel pitch provides a wide viewing angle in CGRH, object data, which are used in fringe calculation, should be created from many viewpoints to provide a proper hidden surface removal process. The fringe pattern of CGRH is calculated in each horizontal block. Therefore, the object data from several view points should be organized for efficient computation. This paper describes the calculation algorithm for huge resolution CGRH and its output results.

Highlights

  • A hologram has 3D information such as the binocular parallax, convergence, accommodation, and so on

  • A computer-generated hologram (CGH) whose interference fringes are calculated on a computer can reconstruct a virtual object

  • We have developed the output device of the plane-type CGH, which is called the fringe printer [4]

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Summary

Introduction

A hologram has 3D information such as the binocular parallax, convergence, accommodation, and so on. We have developed the output device of the plane-type CGH, which is called the fringe printer [4]. This printer consists of a laser, an SLM and an X-Y translation stage with stepper motors. The rainbow hologram, which was proposed by Benton [11], can reconstruct the full-color 3D image by sacrificing the vertical parallax. Since the computation of CGRH is the deterioration of image quality caused by this separation and proposed the solution. Object data created from different viewpoints are organized to fit by fringe printer has wide viewing angle, the reconstructed image should have the correct occlusion.

44 By sacrificing
Computer-generated rainbow hologram y
Computer-Generated Rainbow Hologram
Calculation
Calculation of fringe pattern
Calculation of the Fringe Pattern
Point cloud to creation
Shift Point Data
Reallocate of point cloud
Reallocation of the Point Cloud
Normalization of the Fringe Pattern
Fringe Printer
Reconstructed images
Conclusions

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