Quality-enhanced holographic system utilizing quantum-dot-based light source

No Cheol Park, Sungbin Jeon, Jae Yong Lee, Se Hwan Jang, Jang Hyun Cho, Jin Sang Lim, Young Joo Kim, Young Pil Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We presented the digital holography (DH) system with enhanced image quality. While conventional DH uses highcoherence laser for illuminations, the speckle noise included in the image degrades the quality of the reconstructed data. To reduce the noise regards to the light source, lower-coherence light source could be applied in DH system. In this paper, the quantum dot (QD) based wavelength converter is utilized as the light source. Compared with light-emitting diode (LED), QD-based light source could be applied to versatile system, including dual-wavelength DH. Due to the low coherence both temporally and spatially, spatial filtering and collimation is presented. Also, numerical processes including noise reduction and aberration compensation is described to enhance the quality of the image. By experimental verifications, the proposed DH system shows better quality compared with conventional system, which is enough to utilize the quantitative measurement.

Original languageEnglish
Title of host publicationUltra-High-Definition Imaging Systems
EditorsSeizo Miyata, Toyohiko Yatagai, Yasuhiro Koike
ISBN (Electronic)9781510615991
Publication statusPublished - 2018
EventUltra-High-Definition Imaging Systems 2018 - San Francisco, United States
Duration: 2018 Jan 312018 Feb 1

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherUltra-High-Definition Imaging Systems 2018
Country/TerritoryUnited States
CitySan Francisco

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea(NRF) Grant funded by the Korean Government(MSIT) (No. 2015R1A5A1037668).

Publisher Copyright:
© 2018 SPIE.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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