August 2012
Volume 12, Issue 9
Free
Vision Sciences Society Annual Meeting Abstract  |   August 2012
Contour enhancement benefits peripheral vision task for older adults
Author Affiliations
  • MiYoung Kwon
    Department of Psychology, University of Southern California
  • Chaithanya Ramachandra
    Department of Biomedical Engineering, University of Southern California
  • Bartlett W. Mel
    Neuroscience Graduate Program, University of Southern California\nDepartment of Biomedical Engineering, University of Southern California
  • Bosco S. Tjan
    Department of Psychology, University of Southern California\nNeuroscience Graduate Program, University of Southern California
Journal of Vision August 2012, Vol.12, 94. doi:10.1167/12.9.94
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to Subscribers Only
      Sign In or Create an Account ×
    • Get Citation

      MiYoung Kwon, Chaithanya Ramachandra, Bartlett W. Mel, Bosco S. Tjan; Contour enhancement benefits peripheral vision task for older adults. Journal of Vision 2012;12(9):94. doi: 10.1167/12.9.94.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Age-related macular degeneration (AMD) is the leading cause of vision loss and blindness among Americans over the age of 65. As there is currently no effective medical treatment that can reverse the central vision loss associated with AMD, digital image-processing methods have been developed to improve image visibility in the periphery, but both the selection and efficacy of such methods are currently very limited. Progress has been limited for two reasons: the types of image enhancement that benefit peripheral vision are not well understood, and efficient methods for testing such benefits have been elusive. The goal of the current study has been to simultaneously develop both an effective new image-enhancement technique for peripheral vision, and an efficient means for validating the technique. We used a novel image statistics based contour detection algorithm to locate shape-defining edges in a scene, and then enhanced the scene by locally boosting image contrast along such edges. Using a gaze-contingent display, we tested normally sighted individuals with simulated central vision loss. Visual-search performance was measured as a function of contour enhancement strength (unprocessed, "medium", and "high" enhancement). A separate group of subjects subjectively judged which image in a pair "would lead to better search performance". We found that while contour enhancement had no significant effect on response time and accuracy in younger adults (ages 18-30), the medium contour enhancement led to significantly faster search times in older adults (ages 58-88). Both age groups subjectively preferred images with medium enhancement over the unprocessed originals or the high enhancement condition. Furthermore, across age groups and enhancement levels, we found a robust relationship between preference and performance, suggesting the task-specific preference can be an efficient surrogate for performance testing. For older adults, our findings also demonstrate a beneficial role of contour enhancement for peripheral vision.

Meeting abstract presented at VSS 2012

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×