Cited by 36Tactile and Sensory InteractionsVisual perception and processing mechanismsNeuroscience and Neural Engineering

Region-of-interest processing for electronic visual prostheses

Boyle, Justin R., Maeder, Anthony J., Boles, Wageeh W.·2008·Journal of Electronic Imaging

Abstract

Electronic visual prostheses, or “bionic eyes,” are likely to provide some coarse visual sensations to blind patients who have these systems implanted. The quality of artificially induced vision is anticipated to be very poor initially. Research described explores image processing techniques that improve perception for users of visual prostheses. We describe visual perception experiments undertaken with 192 normally sighted viewers to simulate artificially induced vision expected from emerging electronic visual prosthesis designs. Several variations of region-of-interest (ROI) processing were applied to images that were presented to subjects as low-resolution 25×25 binary images. Several additional processing methods were compared to determine their suitability for use in automatically controlling a zoom-type function for visual prostheses. The experiments show that ROI processing improves scene understanding for low-quality images when used in a zoom application.

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Crossref · 10.1117/1.2841708

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  • SPV studies suggest that one benefit of image processing may be to provide an importance mapping that can aid scene understanding by enhancing certain image features or regions of interest at the expense of discarding less important or distracting information.

    “SPV studies suggest that one benefit of image processing may be to provide an importance mapping that can aid scene understanding; that is, to enhance certain image features or regions of interest, at the expense of discarding less important or distracting information (Boyle et al., 2008; Al-Atabany et al., 2010; Horne et al., 2016; Sanchez-Garcia et al., 2019).”
  • The first saliency extraction approach encountered in the review proposes constructing saliency maps by aggregating various visual features (distance, contrast, object size).

    “The first saliency extraction approach encountered in our review proposes constructing saliency maps by aggregating various visual features (distance, contrast, object size).72”
  • The authors proposed an adaptive design by applying weights on each feature depending on the scene context.

    “The authors proposed an adaptive design by applying weights on each feature depending on the scene context.”
  • The validation of phosphene maps was performed in normally sighted individuals, who were presented with saliency-enhanced phosphene maps computed from the original images.

    “The validation of phosphene maps was performed in normally sighted individuals, who were presented with saliency-enhanced phosphene maps computed from the original images.”
  • The quality of the saliency maps was evaluated by asking participants to assess their preference for the advanced or a more basic approach, with phosphenes modelled as simple image pixels.

    “The quality of the saliency maps was evaluated by asking the participants to assess their preference for the advanced or a more basic approach, with phosphenes being modelled as simple image pixels.”

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References 24 · Cited by 36

Authors
Boyle, J. R., Maeder, A. J., & Boles, W. W.
Affiliations
  • Commonwealth Scientific and Industrial Research Organisation (AU)
  • Queensland University of Technology (AU)
Corresponding author
Boyle, Justin R.
Venue
Journal of Electronic Imaging
Published
2008-01-01
Volume
17
Issue
01
Pages
1-12
ISSN
  • 1017-9909 (ISSN-L)
  • 1560-229X
OpenAlex
W2171333826
Cited by
36
References
24
Citations by year
2025: 4 · 2024: 2 · 2023: 3 · 2022: 4 · 2021: 4 · 2019: 2 · 2018: 1 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 3 · 2013: 2 · 2012: 2
FWCI
0.52
Type
journal article
Language
en
Open access
closed
Locations
Journal of Electronic Imaging (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
Keywords
retinal prosthesis, blind patients, visual perception, zoom control, scene understanding, image quality

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