2012
DOI: 10.1097/opx.0b013e318266f92f
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Effects of Contour Enhancement on Low-Vision Preference and Visual Search

Abstract: PURPOSE To determine whether image enhancement improves visual search performance and whether enhanced images were also preferred by subjects with vision impairment. METHOD Subjects (n=24) with vision impairment (vision: 20/52 to 20/240) completed visual search and preference tasks for 150 static images that were enhanced to increase object contours’ visual saliency. Subjects were divided into two groups and were shown three enhancement levels. Original and Medium enhancement were shown to both groups. High … Show more

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Cited by 29 publications
(37 citation statements)
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“…On reason for this abandonment could be that the devices do not match the users' needs. Satgunam et al [14] studied whether users find contour enhancements useful. They concluded that moderate enhancements may help, but more research is needed.…”
Section: Related Workmentioning
confidence: 99%
“…On reason for this abandonment could be that the devices do not match the users' needs. Satgunam et al [14] studied whether users find contour enhancements useful. They concluded that moderate enhancements may help, but more research is needed.…”
Section: Related Workmentioning
confidence: 99%
“…Research on image enhancement has explored several types of image transformations, including contrast enhancement [4], color transformations [5] and the enhancement of intensity edges [6]. Smartphone/tablet apps such as Brighter and Bigger 1 and Super Vision 2 perform these types of image enhancements, in addition to providing features such as magnification and image stabilization.…”
Section: Related Workmentioning
confidence: 99%
“…Currently, the most notable contributions in augmented vision for the visually impaired and development of visual enhancement embedded devices are reported by Peli et al [8][9][10][11][12][13] and Atabany et al [14,15]. However, the work presented on embedded devices are severely limited in hardware technical details while opting to focus more on psychophysical testing of fixed visual enhancement algorithms.…”
Section: Previous Work On Visual Enhancement and Embedded Devicesmentioning
confidence: 99%
“…Peli et al originally proposed augmented vision models utilising visual multiplexing techniques such as the wideband enhancement algorithm that superimposed modified image edges over the original image, enhancing the high spatial frequency components [8,9]. Further work includes modifying the discrete cosine transform to increase the mid-range spatial frequencies of JPEG images [10], which was then extended to include MPEG video enhancement [11] and recently a modified edge detection algorithm for contour shape enhancement applied to image luminance channels [12]. Wolffsohn et al demonstrated a significant increase of perceived image quality of television video amongst visually impaired individuals by recording television segments onto a computer with user-selectable software overlaid coloured edges on the original scene [7].…”
Section: Visual Enhancement Algorithmsmentioning
confidence: 99%
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