Depth adjustment for stereoscopic images and subjective preference evaluation

Donghyun Kim, Sunghwan Choi, Kwanghoon Sohn

Research output: Contribution to journalArticle

19 Citations (Scopus)


Visual fatigue is a common problem when viewing stereoscopic images. We propose a depth adjustment method that controls the amount of disparity in stereoscopic images using visual fatigue prediction and conducted subjective preference evaluation based on individual fusional response characteristics. Visual fatigue level is predicted by examining the characteristics of horizontal disparity. Viewers are classified into two groups (those with normal susceptibility to visual fatigue and those with high susceptibility to visual fatigue) according to individual fusional limit and speed of fusion, which are determined using a random dot stereogram test. Subjective preferences for the amount of depth adjustment are investigated based on the degree of fusion ability. Our experimental results support the suitability of the proposed depth adjustment method for reducing visual fatigue.

Original languageEnglish
Article number033011
JournalJournal of Electronic Imaging
Issue number3
Publication statusPublished - 2011 Jul

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Depth adjustment for stereoscopic images and subjective preference evaluation'. Together they form a unique fingerprint.

  • Cite this