We propose an automatic color contrast enhancement algorithm that improves the visual quality of static images for both normally sighted people and for low-vision patients. Existing methods have been shown to work on people either with normal vision or with low vision. Due to the framework of this approach, an enhanced visual experience can be simultaneously provided to normally sighted people and low vision patients. This method is inspired from human color perception and separates the image into illumination and reflectance components. It then enhances only the illumination component while trying to achieve color constancy thus resulting in color contrast enhancement. We have simulated low-vision patients by asking normally sighted people to wear simulation AMD glasses. Experiments with static images revealed that both normally sighted people and low vision patients preferred enhanced images over original images. Comparison of the enhanced images with the original images showed a statistically significant improvement in the perceived image quality due to enhancement, for subjects with normal vision and for subjects with low vision.
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