Image Enhancement For The Visually Impaired

Peli, Eli; Peli, Tamar

doi:10.1117/12.7973251

Cited by 82 publications

(79 citation statements)

References 3 publications

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“…Increasing image contrast using image processing, as an alternative or supplement to magnification to make video images more visible to patients with visual impairment has been proposed [7,8]. Early applications were inspired by the Adaptive Enhancement algorithm [7,9], a high frequency enhancement that adapts the level of enhancement to local image characteristics.…”

Section: Introductionmentioning

confidence: 99%

Digital enhancement of television signals for people with visual impairments: Evaluation of a consumer product

Fullerton¹,

Peli²

2008

J Soc Info Display

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Technology to improve the clarity of video for home theater viewers is available utilizing a low cost enhancement chip (DigiVision DV1000). The impact of such a device on the preference for enhanced video was tested for people with impaired vision and normally sighted viewers. Viewers with impaired vision preferred the enhancement effects more than normally sighted viewers. Preference for enhancement was correlated with loss in contrast sensitivity and visual acuity. Preference increased with increased enhancement settings (designed for those with normal vision) in the group with vision impairments. This suggests that higher enhancement levels may be of even greater benefit, and a similar product could be designed to meet the needs of the large, growing population of elderly television viewers with impaired vision.

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Section: Introductionmentioning

confidence: 99%

Digital enhancement of television signals for people with visual impairments: Evaluation of a consumer product

Fullerton¹,

Peli²

2008

J Soc Info Display

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“…televisions and mobile phones) are digitally enhanced (i.e., programmable), a plethora of research work has been carried out towards the development of image processing techniques to improve certain desired features for viewing [7]. As early as in the 1980s, this research began to explore improving technologies for those with visual impairments, when pioneer work on image enhancement was proposed by Peli et al [8,9]. Following this line of research, a number of image filters then flourished, including band pass filters [10], adaptive thresholding [11], frequency-based (e.g, Fourier transform, Wavelet transform ) [12], generic [13] adaptive, and unsharp masking [14].…”

Section: Image Enhancement For the Visually Impairedmentioning

confidence: 99%

A new approach to image enhancement for the visually impaired

Gao¹,

Loomes²

2016

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“…The lower quality of life in patients with AMD is related to greater emotional distress, worse self reported general health, and greater difficulties carrying out daily activities. These people report increased difficulty for everyday tasks like reading, driving, cooking, watching TV, recognizing faces and facial expressions, pictures and finding objects especially when the illumination level is low and during the transition from bright to dim illumination (Hart et al, 1999;Brody et al, 2001;Holzschuch et al 2002;Hassan et al, 2002;Bullimore et al 1991;Peli et al 1991;Tejeira et al, 2002;Boucart et al 2008a). Vision-related Quality of Life questionnaires (Mangione et al 2001;Cahill et al 2005) report that patients suffering from AMD also encounter more difficulties than do age matched normally sighted individuals when shopping (i.e., finding objects on shelves), managing money and performing light housework.…”

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confidence: 99%