2005
DOI: 10.1016/j.visres.2005.01.028
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Generic and customised digital image enhancement filters for the visually impaired

Abstract: This study compares the effectiveness of various image enhancement filters for improving the perceived visibility of coloured digital natural images for people with visual impairment. Generic filters were compared with Peli's adaptive enhancement and adaptive thresholding and custom-devised filters based on each subject's contrast sensitivity loss. Subjects with low vision made within filter rankings followed by between filter ratings. In general, subjects preferred filters with lower gains. Unsharp masking re… Show more

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Cited by 22 publications
(41 citation statements)
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“…Modern e‐LVAs can embed digital sight enhancement algorithms that have been proven effective in laboratory settings for decades . A 2015 review of 37 research papers highlighted the benefit of various image processing techniques for the visually impaired, albeit with inconsistent preferences between people .…”
Section: Introductionmentioning
confidence: 99%
“…Modern e‐LVAs can embed digital sight enhancement algorithms that have been proven effective in laboratory settings for decades . A 2015 review of 37 research papers highlighted the benefit of various image processing techniques for the visually impaired, albeit with inconsistent preferences between people .…”
Section: Introductionmentioning
confidence: 99%
“…Evidently, there are more complex factors at play for many types of low vision, which cannot be alleviated simply by way of image enhancement. In [16], an investigation is conducted to study, compare and ascertain the effectiveness of a range of generic image enhancement filters with regard to the improvement of the perceived visibility of coloured digital nature images. They conclude that there is no one-size-fits-all filter that can improve all sorts of images (e.g., indoor, out-door, sports) for the visually impaired.…”
Section: Image Enhancement For the Visually Impairedmentioning
confidence: 99%
“…With the fast progress in image processing technology, new possibilities for partial compensation of low contrast and low color sensitivity, as well as other shortcomings typical of impaired vision, are now available in real time processing. The mere application of contrast enhancement algorithm based on simple histogram stretching technique, already results in a noticeable improvement in the perceived image quality for AMD patients [1]. More significant improvement can be accomplished by sophisticated methods of image enhancement, based on e.g.…”
Section: Low Vision Image Enhancementmentioning
confidence: 99%