Accelerating computation of CCGH using convolutional symmetric compressed LUT method in 360°dynamic color 3D holographic display

Jiahao Wei; Juan Liu

Accelerating computation of CCGH using convolutional symmetric compressed LUT method in 360°dynamic color 3D holographic display

Jiahao Wei, Juan Liu

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

We propose a convolutional symmetric compressed look-up-table (CSC-LUT) method to accelerate CCGH computation and further optimize it for GPU parallel framework. Numerical simulation and optical experimental results show that our proposed method can achieve real-time (>24fps) color holographic display corresponding to three perspectives of a 3D scene.

Original language	English
Publication status	Published - 2024
Event	Digital Holography and Three-Dimensional Imaging, DH 2024 - Paestum, Italy Duration: 3 Jun 2024 → 6 Jun 2024

Conference

Conference	Digital Holography and Three-Dimensional Imaging, DH 2024
Country/Territory	Italy
City	Paestum
Period	3/06/24 → 6/06/24

Cite this

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title = "Accelerating computation of CCGH using convolutional symmetric compressed LUT method in 360°dynamic color 3D holographic display",

abstract = "We propose a convolutional symmetric compressed look-up-table (CSC-LUT) method to accelerate CCGH computation and further optimize it for GPU parallel framework. Numerical simulation and optical experimental results show that our proposed method can achieve real-time (>24fps) color holographic display corresponding to three perspectives of a 3D scene.",

author = "Jiahao Wei and Juan Liu",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s).; Digital Holography and Three-Dimensional Imaging, DH 2024 ; Conference date: 03-06-2024 Through 06-06-2024",

year = "2024",

language = "English",

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TY - CONF

T1 - Accelerating computation of CCGH using convolutional symmetric compressed LUT method in 360°dynamic color 3D holographic display

AU - Wei, Jiahao

AU - Liu, Juan

PY - 2024

Y1 - 2024

N2 - We propose a convolutional symmetric compressed look-up-table (CSC-LUT) method to accelerate CCGH computation and further optimize it for GPU parallel framework. Numerical simulation and optical experimental results show that our proposed method can achieve real-time (>24fps) color holographic display corresponding to three perspectives of a 3D scene.

AB - We propose a convolutional symmetric compressed look-up-table (CSC-LUT) method to accelerate CCGH computation and further optimize it for GPU parallel framework. Numerical simulation and optical experimental results show that our proposed method can achieve real-time (>24fps) color holographic display corresponding to three perspectives of a 3D scene.

UR - http://www.scopus.com/inward/record.url?scp=85205031194&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85205031194

T2 - Digital Holography and Three-Dimensional Imaging, DH 2024

Y2 - 3 June 2024 through 6 June 2024

ER -

Accelerating computation of CCGH using convolutional symmetric compressed LUT method in 360°dynamic color 3D holographic display

Abstract

Conference

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