New perspectives on image enhancement for the visually impaired

Eli Peli

doi:10.1117/12.25198

1 February 1991 New perspectives on image enhancement for the visually impaired

Eli Peli

Proceedings Volume 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods; (1991) https://doi.org/10.1117/12.25198
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Image enhancement as an aid for the visually impaired may be used to improve visibility of broadcast TV programs and to provide a portable visual aid. Initial work in this area was based on a linear model. The finite dynamic range available in the video display and contamination of the enhanced image by high spatial frequency noise limited the usefulness of this model. I propose a new enhancement method to address some of the limitations of the original model. It considers the nonlinear response of the visual system and requires enhancement of sub-threshold spatial information only. This modification increases the dynamic range available by decreasing the range previously used by the linear models to enhance visible details. Implementation of an image-enhancing visual aid in a head-mounted binocular full-field virtual vision device may cause substantial difficulties. Adaptation for the patient may be difficult due to head movement and interaction of the vestibular system response with the head-mounted display. I propose an alternate bioptic design in which the display is positioned above or below the line of sight to be examined intermittently possibly in a freeze-frame mode. Such implementation is also likely to be less expensive enabling more users access to the device. 1.

Citation Download Citation

Eli Peli "New perspectives on image enhancement for the visually impaired", Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); https://doi.org/10.1117/12.25198

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KEYWORDS

Image enhancement

Visualization

Spatial frequencies

Image processing

Facial recognition systems

Eye

Machine vision

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