A aurvey of signal processing problems and tools in holographic three-dimensional television
Date
2007Source Title
IEEE Transactions on Circuits and Systems for Video Technology
Print ISSN
1051-8215
Electronic ISSN
1558-2205
Publisher
Institute of Electrical and Electronics Engineers
Volume
17
Issue
11
Pages
1631 - 1646
Language
English
Type
ArticleItem Usage Stats
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Abstract
Diffraction and holography are fertile areas for application of signal theory and processing. Recent work on 3DTV displays has posed particularly challenging signal processing problems. Various procedures to compute Rayleigh-Sommerfeld, Fresnel and Fraunhofer diffraction exist in the literature. Diffraction between parallel planes and tilted planes can be efficiently computed. Discretization and quantization of diffraction fields yield interesting theoretical and practical results, and allow efficient schemes compared to commonly used Nyquist sampling. The literature on computer-generated holography provides a good resource for holographic 3DTV related issues. Fast algorithms to compute Fourier, Walsh-Hadamard, fractional Fourier, linear canonical, Fresnel, and wavelet transforms, as well as optimization-based techniques such as best orthogonal basis, matching pursuit, basis pursuit etc., are especially relevant signal processing techniques for wave propagation, diffraction, holography, and related problems. Atomic decompositions, multiresolution techniques, Gabor functions, and Wigner distributions are among the signal processing techniques which have or may be applied to problems in optics. Research aimed at solving such problems at the intersection of wave optics and signal processing promises not only to facilitate the development of 3DTV systems, but also to contribute to fundamental advances in optics and signal processing theory.
Keywords
3DTVDiffraction
Discretization
Fast transforms
Fresnel transform
Holographic 3DTV
Holography
Sampling
3DTV