Recent progress in computer-generated holography for three-dimensional scenes

Park, Jae‐Hyeung

doi:10.1080/15980316.2016.1255672

Cited by 149 publications

(56 citation statements)

References 58 publications

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“…This technique can be readily modified to be applied to point‐cloud‐based CGHs for viewing window‐type holographic displays. In the viewing window‐type holographic displays, a point‐cloud‐based CGH is synthesized by

U false(x, y false) = \underset{m}{false\sum} a_{m} exp (j θ_{m}) \frac{exp (][, j \frac{2 π}{λ} r_{m})}{r_{m}},

where a m and θ m are the amplitude and phase, respectively, of the object point located at ( x m , y m , z m ), and λ is the wavelength. r m in (1) is given by

r_{m} = \sqrt{{(x_{mi} - x)}^{2} + {(y_{mi} - y)}^{2} + z_{mi}^{2}},

where ( x mi , y mi , z mi ) is related to the displayed object point location ( x m , y m , z m ) in the viewing window‐type holographic display using a converging lens of focal length f by

z_{mi} = \frac{f z_{m}}{f - z_{m}}, x_{mi} = \frac{f x_{m}}{f - z_{m}}, y_{mi} = \frac{f y_{m}}{f - z_{m}} .

In usual point‐cloud‐based CGHs, phase θ m of the object point is given by a random value.…”

Section: Fundamental Conceptsmentioning

confidence: 99%

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Reducing speckle artifacts in digital holography through programmable filtration

et al. 2019

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We propose a speckle reduction technique in electronic holographic display systems, where digital micro‐mirror array devices are used as spatial light modulators. By adopting a programmable filtration in a general 4‐f optic configuration, it is shown that the signal spectrum components in the frequency domain of a viewing‐window‐based holographic display system can be selectively filtered. Compared to the widely utilized single‐sideband filtration techniques in electronic holographic display systems, our proposed programmable filtration can be utilized to effectively reduce the speckles in the reconstruction of point‐cloud‐based computer‐generated holograms. Experimental results are presented to verify our proposed concept.

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U false(x, y false) = \underset{m}{false\sum} a_{m} exp (j θ_{m}) \frac{exp (][, j \frac{2 π}{λ} r_{m})}{r_{m}},

where a m and θ m are the amplitude and phase, respectively, of the object point located at ( x m , y m , z m ), and λ is the wavelength. r m in (1) is given by

r_{m} = \sqrt{{(x_{mi} - x)}^{2} + {(y_{mi} - y)}^{2} + z_{mi}^{2}},

where ( x mi , y mi , z mi ) is related to the displayed object point location ( x m , y m , z m ) in the viewing window‐type holographic display using a converging lens of focal length f by

z_{mi} = \frac{f z_{m}}{f - z_{m}}, x_{mi} = \frac{f x_{m}}{f - z_{m}}, y_{mi} = \frac{f y_{m}}{f - z_{m}} .

In usual point‐cloud‐based CGHs, phase θ m of the object point is given by a random value.…”

Section: Fundamental Conceptsmentioning

confidence: 99%

“…This technique can be readily modified to be applied to point-cloud-based CGHs for viewing window-type holographic displays. In the viewing window-type holographic displays, a point-cloud-based CGH is synthesized by [21] Uðx;…”

Section: Angular Spectrum Interleaving Technique For Reducing Speckmentioning

confidence: 99%

Reducing speckle artifacts in digital holography through programmable filtration

et al. 2019

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“…To the best of our knowledge, there is no modern review paper that specifically targets the hardware used for the generation and processing of computer holography. Previously published survey papers [9][10][11][12][13][14] provide analyses and conceptual reviews of fast hologram generation algorithms. Additionally, Shimobaba et al 15 and Shimobaba and Ito 16 provided overviews in terms of CGH-related hardware implementations.…”

Section: Introductionmentioning

confidence: 99%

Hardware implementations of computer-generated holography: a review

et al. 2020

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Computer-generated holography (CGH) is a technique to generate holographic interference patterns. One of the major issues related to computer hologram generation is the massive computational power required. Hardware accelerators are used to accelerate this process. Previous publications targeting hardware platforms lack performance comparisons between different architectures and do not provide enough information for the evaluation of the suitability of recent hardware platforms for CGH algorithms. We aim to address these limitations and present a comprehensive review of CGH-related hardware implementations.

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“…In these cases, every primitive of the scene (point or polygon) is considered as an element that emits an electromagnetic wave, and the various contributions of the different primitives are combined in the hologram plane, in order to obtain the holographic representation of the whole scene [5].…”

Section: Introductionmentioning

confidence: 99%

“…Other basic representations are also possible, such as the ray-based model, in which the scene is represented as a set of light rays [6]- [30], or the layer-based model, in which the depth of the scene is represented by multiple layers: the contribution of each layer is propagated towards the hologram plane and added to the others in order to obtain the final hologram [5]. A further acquisition technique consists in combining different views of the same scene, acquired from different perspectives (multiviewpoint projections), which are then processed to obtain the final hologram [31].…”

Section: Introductionmentioning

confidence: 99%

Digital holography data compression

Corda¹

2019

Telfor J

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Digital holography processing is a research topic related to the development of novel visual immersive applications. The huge amount of information conveyed by a digital hologram and the different properties of holographic data with respect to conventional photographic data require a comprehension of the performances and limitations of current image and video standard techniques. This paper proposes an architecture for objective evaluation of the performances of the state-of-the-art compression techniques applied to digital holographic data.

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Recent progress in computer-generated holography for three-dimensional scenes

Cited by 149 publications

References 58 publications

Reducing speckle artifacts in digital holography through programmable filtration

Reducing speckle artifacts in digital holography through programmable filtration

Hardware implementations of computer-generated holography: a review

Digital holography data compression

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