Pixel structure evaluation regarding see-through image quality for transparent displays: A study based on diffraction calculation and full-reference image quality assessment

Zong Qin, Yi-Pai Huang, Han Ping David Shieh

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Through a series of diffracted see-through images of transparent displays, “multiscale structural similarity” is demonstrated to be the most adapted for quality assessment among several mainstream algorithms. Then aperture ratios, resolutions, and pixel geometries are evaluated and revealed to affect see-through image quality from the most significantly to the least.

Original languageEnglish
Pages (from-to)615-618
Number of pages4
JournalDigest of Technical Papers - SID International Symposium
Volume48
Issue number1
DOIs
StatePublished - 1 Jan 2017
EventSID Symposium, Seminar, and Exhibition 2017, Display Week 2017 - Los Angeles, United States
Duration: 21 May 201726 May 2017

Keywords

  • Diffraction
  • Image quality assessment
  • Pixel structure
  • See-through image
  • Transparent display

Fingerprint Dive into the research topics of 'Pixel structure evaluation regarding see-through image quality for transparent displays: A study based on diffraction calculation and full-reference image quality assessment'. Together they form a unique fingerprint.

Cite this