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Image Visual Improvement on Handheld Devices Using Linear Mapping Function

Image Visual Improvement on Handheld Devices Using Linear Mapping Function

Balakrishnan Natarajan, Shantharajah Periyasamy, Shrinivas S.G.
Copyright: © 2017 |Volume: 8 |Issue: 4 |Pages: 6
ISSN: 1947-9158|EISSN: 1947-9166|EISBN13: 9781522513445|DOI: 10.4018/IJHCR.2017100105
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MLA

Natarajan, Balakrishnan, et al. "Image Visual Improvement on Handheld Devices Using Linear Mapping Function." IJHCR vol.8, no.4 2017: pp.52-57. http://doi.org/10.4018/IJHCR.2017100105

APA

Natarajan, B., Periyasamy, S., & Shrinivas S.G. (2017). Image Visual Improvement on Handheld Devices Using Linear Mapping Function. International Journal of Handheld Computing Research (IJHCR), 8(4), 52-57. http://doi.org/10.4018/IJHCR.2017100105

Chicago

Natarajan, Balakrishnan, Shantharajah Periyasamy, and Shrinivas S.G. "Image Visual Improvement on Handheld Devices Using Linear Mapping Function," International Journal of Handheld Computing Research (IJHCR) 8, no.4: 52-57. http://doi.org/10.4018/IJHCR.2017100105

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Abstract

In the current scenario, handheld devices play a major role in the human life. Handheld devices become an essential kit, not only acting as a conduit for social media, but also in medicine. Several new opportunities for the different applications of mobile image processing exist, such as to improve the visual quality, and image recognition. Captured images do not provide an effective visualization due to the poor specifications of the device camera, low light, poor sensing features, etc. In this article, an adaptive histogram equalization for contrast enhancement using a linear mapping function scheme is proposed to improve the images. The image from the mobile device is fed into a contrast improvement phase. The intensity value of each pixel is processed to improve the image visuals. The pixel density value is measured and according to it, the low-density value is changed. Hence, the image is tuned finely to yield better results.

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