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Image Quality Evaluation of a Computer-Generated Phase Hologram

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Encyclopedia of Computer Graphics and Games
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Image quality assessment

Definition

Quality of reconstructed image from computer-generated phase hologram is evaluated objectively on its peak signal-to-noise ratio and brightness.

Introduction

Hologram can record and reconstruct or playback an optical wavefront on the hologram plane. It uses interference between two waves, an object wave from the object to be recorded and a reference wave. The interference intensity pattern is recorded on a photosensitive material. Computer-generated hologram (CGH) simulates this optical phenomenon in a computer (Lohmann and Paris 1967). CGH is widely used to show not only for 2D images but also complex 3D images. Image quality of the reconstructed image from CGH is usually evaluated subjectively. For example, an observer compares two images and scores. Here shows basic research to evaluate reconstructed image quality of phase-type CGH objectively on its peak signal-to-noise ration and brightness (Yoshikawa and Yamaguchi 2015).

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References

  • Lohmann, A.W., Paris, D.P.: Binary Fraunhofer holograms, generated by computer. Appl. Opt. 6(10), 1739–1748 (1967)

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  • Waters, J.P.: Holographic image synthesis utilizing theoretical methods. Appl. Phys. Lett. 9(11), 405407 (1966)

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  • Yoshikawa, H.: Image Quality Evaluation of a Computer-Generated Hologram, OSA topical meeting on Digital Holography and 3D Imaging. Shanghai, OSA (2015)

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  • Yoshikawa, H., Yamaguchi, T.: Image quality evaluation of a computer-generated phase hologram. In: 10th International Symposium on Display Holography, paper 4–4 (2015)

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Correspondence to Hiroshi Yoshikawa .

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Yoshikawa, H. (2018). Image Quality Evaluation of a Computer-Generated Phase Hologram. In: Lee, N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_277-1

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  • DOI: https://doi.org/10.1007/978-3-319-08234-9_277-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08234-9

  • Online ISBN: 978-3-319-08234-9

  • eBook Packages: Living Reference Computer SciencesReference Module Computer Science and Engineering

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