Model-based Image Enhancement for the Visually Impaired
This study is aimed at designing and evaluating practical image-enhancement methods. The first approach is to develop systematic (model-driven) methods for optimal image enhancement for the visually impaired. The second aspect of the investigation is a basic study of the perception of contrast by normal and impaired observers. This study led to the development of a valid metric for contrast in complex images, which is now being used in simulation of image appearance and as a tool for image quality metrics. Current efforts are to investigate changes in form perception in the peripheral retina following adaptation to central field loss. The third aspect of the investigation involves the evaluation of developed enhancement technologies in improving the visibility of details from color motion video. These studies will lead to the development of effective image-enhancement devices for the visually impaired.
Simulation videos are available on the Videos/Simulations page.
Fuensanta Vera Diaz, Ph.D.
Long To, PhD
Matthew Fullerton
Rocio Alcala Quintana
Jeonghoon Kim,
PhD
Itzhak Yitzhaky, PhD
Jinshan Tang, PhD
NIH, EY05957, "Model-Based Image Enhancement for the Visually Impaired"
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Information PDF 480 KB]
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[PDF 492 KB]
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© 1992 SPIE. This paper was published in Optical Engineering
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