Effects of depth-based object isolation in simulated retinal prosthetic vision

David Avraham, Yitzhak Yitzhaky

Research output: Contribution to journalArticlepeer-review


Visual retinal prostheses aim to restore vision for blind individuals who suffer from outer retinal degenerative diseases such as retinitis pigmentosa and age-related macular degeneration. Perception through retinal prostheses is very limited, but it can be improved by applying object isolation. We used an object isolation algorithm based on integral imaging to isolate objects of interest according to their depth from the camera and applied image processing manipulation to the isolated-object images. Subsequently, we applied a spatial prosthetic vision simulation that converted the isolated-object images to phosphene images. We compared the phosphene images for two types of input images, the original image (before applying object isolation), and the isolated-object image to illustrate the effects of object isolation on simulated prosthetic vision without and with multiple spatial variations of phosphenes, such as size and shape variations, spatial shifts, and dropout rate. The results show an improvement in the perceived shape, contrast, and dynamic range (number of gray levels) of objects in the phosphene image.

Original languageAmerican English
Article number1763
Issue number10
StatePublished - 1 Oct 2021


  • Integral imaging
  • Object isolation
  • Perception
  • Phosphene vision
  • Retina
  • Vision rehabilitation
  • Visual prosthesis

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • General Mathematics
  • Physics and Astronomy (miscellaneous)


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