Abstract
Pre-compensation of display images in computers can enhance the interaction of computer users with visual impairments and computers. However, the pre-compensation process reduces the contrast of the images perceived by the user, when the pre-compensated images are presented in display devices with limited intensity levels. Therefore, the helpfulness of the pre-compensation process is reduced by the accompanying contrast loss. This paper proposes a side-trim histogram correction method aiming to improve the contrast of the image perceived by the user after pre-compensation has been performed. The side-trim method is based on the analysis of the histogram of the pre-compensated image, in which the trimming process is performed automatically, without manual intervention.
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Acknowledgments
This work was sponsored by NSF grants HRD-0833093, CNS-0959985 and CNS-0940575. Jian Huang is the recipient of Presidential Fellowship at Florida International University.
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Huang, J., Barreto, A., Adjouadi, M., Alonso, M. (2013). Contrast Enhancement in Image Pre-Compensation for Computer Users with Visual Aberrations. In: Elleithy, K., Sobh, T. (eds) Innovations and Advances in Computer, Information, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 152. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3535-8_32
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DOI: https://doi.org/10.1007/978-1-4614-3535-8_32
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