Image processing to facilitate image identification by partially-sighted

Bordier, Cécile; Koenig-Supiot, Françoise; Vital‐Durand, François; Knoblauch, Kenneth

doi:10.1016/j.ics.2005.05.178

Cited by 4 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, another study, 12 which segmented the image and also darkened the background, did not find a significant difference in ability to locate objects. Two further studies, 20,57 which used this technique to attenuate the background compared to the main image object (Fig. 2b), measured performance at recognizing the object and found it to improve.…”

Section: Background Attenuation and Scene Simplificationmentioning

confidence: 99%

High Tech Aids Low Vision: A Review of Image Processing for the Visually Impaired

Moshtael

Aslam

Underwood

et al. 2015

Trans. Vis. Sci. Tech.

View full text Add to dashboard Cite

Recent advances in digital image processing provide promising methods for maximizing the residual vision of the visually impaired. This paper seeks to introduce this field to the readership and describe its current state as found in the literature. A systematic search revealed 37 studies that measure the value of image processing techniques for subjects with low vision. The techniques used are categorized according to their effect and the principal findings are summarized. The majority of participants preferred enhanced images over the original for a wide range of enhancement types. Adapting the contrast and spatial frequency content often improved performance at object recognition and reading speed, as did techniques that attenuate the image background and a technique that induced jitter. A lack of consistency in preference and performance measures was found, as well as a lack of independent studies. Nevertheless, the promising results should encourage further research in order to allow their widespread use in low-vision aids.

show abstract

Section: Background Attenuation and Scene Simplificationmentioning

confidence: 99%

High Tech Aids Low Vision: A Review of Image Processing for the Visually Impaired

Moshtael

Aslam

Underwood

et al. 2015

Trans. Vis. Sci. Tech.

View full text Add to dashboard Cite

show abstract

“…A deficit of figure/ground processing, however, would suggest that selective attenuation of background information would be preferable to render images more easily recognized by AMD patients. Some recent image segmentation algorithms 27,28 and low vision devices incorporating them, 29,30 in fact, move in this direction.…”

Section: Introductionmentioning

confidence: 99%