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

机译:高科技帮助低视力:视力障碍者图像处理的回顾。

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摘要

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.
机译:数字图像处理的最新进展为最大程度地提高视障者的残余视力提供了有前途的方法。本文试图将这一领域介绍给读者,并描述其在文献中发现的现状。一项系统的搜索揭示了37项研究,这些研究衡量了图像处理技术对弱视受试者的价值。使用的技术根据其效果进行分类,并对主要发现进行总结。对于广泛的增强类型,大多数参与者都喜欢增强图像而不是原始图像。适应对比度和空间频率的内容通常可以提高对象识别和读取速度的性能,衰减图像背景的技术和诱发抖动的技术也可以。发现在偏好和绩效指标方面缺乏一致性,也缺乏独立研究。然而,有希望的结果应鼓励进一步的研究,以便使其广泛用于低视力辅助设备。

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