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| Call for Papers>>Final Program |
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| Abstract of admission as follows: |
| Regular Effective Hologram Regions for Computer-generated Holography |
| Shuhong, Xu
Ph.D degree from Zhejiang University, China, research scientist at
the Institute for Infocomm Research, Singapore |
| Abstract |
| The computational load of a computer-generated hologram (CGH) is proportional to its resolution, i.e. number of pixels. If the resolution can be reduced without degrading the reconstruction quality observably, CGH computational speed will be increased. Existing researches studied this topic using the Nyquist sampling theorem. They calculated the region of contribution for each object point and the calculation was based on the maximum spatial frequency. This caused two problems: 1) Point-wise calculations increase computing overhead. 2) The shape of the region of contribution is irregular and inappropriate for parallel CGH computing. To overcome these problems, this paper presents a new CGH computation approach based on regular effective hologram regions (EHRs). During the pre-calculating stage, the object space is adaptively subdivided into subspaces and the EHR for each subspace is defined. Different from the conventional method, the EHR also takes into account CGH binarization effects and the energy distribution of diffraction gratings. When the hologram of an object needs to be computed, the object points are first categorized according to which subspaces they are located in and then their holograms are calculated using the corresponding EHRs. The final hologram is obtained by accumulating these EHR-based holograms. As each EHR is usually only a portion of the hologram plate, CGH computational speed is increased. This approach especially suits the holographic display systems with high resolution hologram plates. The shapes of EHRs are regular. This makes the implementation of parallel CGH computing straightforward. Meanwhile, as more noise is blocked off, the quality of holographic images becomes even better. Our experimental results have shown that, compared with the reconstructed image using the full hologram plate resolution, the EHR-based holographic image is clearer. The edges are sharper without noticeable brightness reduction and the background noise is less. Keywords: Computer-Generated Holography, Computer-Generated Hologram, Holographic Display. |
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