Back to results

University of Cambridge

Advanced Algorithmic Approaches for Improving Image Quality in 2D and 3D Holographic Displays

Abstract

dc:description.abstract

Holography is an advanced three-dimensional (3D) imaging and visualisation technology capable of reconstructing realistic 3D scenes. Despite decades of concentrated effort, holographic 3D displays are still struggling to meet the demands required for a consumer-ready solution. This thesis addresses technical challenges in the practical implementation and focuses specifically on potential image quality improvements based on algorithmic development. The thesis builds a holographic display system prototype and reconstructs established 3D scenes and real-world scenes using commercially available RGB-D cameras. By closely examining the reconstructed images, experimental reconstruction issues are evaluated. Given that image quality degradation is one of the significant issues in holographic displays, the gradient descent method is introduced to phase-only CGH optimisation. Contemporary image quality metrics (IQMs) considering human visual systems are employed as loss functions to improve the reconstructed image quality. Extensive objective and subjective assessment of experimentally reconstructed images reveal that the perceived quality improves considerably should the appropriate IQM loss be selected. Finally, the gradient descent method is extended to 3D hologram generation. While previous work optimises 3D CGH generation primarily on the in-focus region, this research further combines the method with an incoherent imaging module and a reformulated loss function to improve the defocus effect without sacrificing in-focus image quality. The experimentally acquired result demonstrates its effectiveness in reconstructing realistic 3D images beyond the capabilities of existing 3D hologram generation algorithms.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Yang, Fan
Advisor dc:contributor.advisor
  • Wilkinson, Timothy

Subjects

dc:subject × 3

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
Author Identifier
0000-0003-4351-1030
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/349394

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Yang, Fan. Advanced Algorithmic Approaches for Improving Image Quality in 2D and 3D Holographic Displays. Doctoral thesis, University of Cambridge, 2022. https://doi.org/10.17863/CAM.96502