Distribution-Shifting: Novel Phase-distortion Metrics for Hologram Processing
- Authors
- Choi, Seungmi; Cha, Jun Yeong; Ban, Hyunmin; Oh, Kwan-Jung; Ko, Hyunsuk; Kim, Hui Yong
- Issue Date
- May-2024
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Computer graphics; Computing methodologies; Image manipulation; Image processing
- Citation
- 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), pp 773 - 774
- Pages
- 2
- Indexed
- SCOPUS
- Journal Title
- 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
- Start Page
- 773
- End Page
- 774
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/119521
- DOI
- 10.1109/VRW62533.2024.00183
- ISSN
- 0000-0000
- Abstract
- Due to the lack of suitable phase distortion metrics, the optimization and evaluation of phase-holograms have relied on numerical reconstruction (NR) domain metrics. However, the necessity of NR for hologram processing leads to more intricate design and a higher computational burden. In this paper, we introduce a distribution-shifting (DS) algorithm to enable optimizing or measuring distortions directly in phase-domain, considering 2π-periodicity and shift-invariance. Experimental results with various noise types demonstrate a strong correlation between phase-domain metric with DS and their NR-domain counterparts. We believe that our DS-metric could facilitate direct optimization approaches in various phase-hologram processing techniques. © 2024 IEEE.
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