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Paper
Title

An Image Enhancement Framework For Low Vision Users of Social Networks

Year: 1396
COI: TECCONF02_002
Language: EnglishView: 480
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Authors

Mohammad Hajarian - Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
Azam Bastanfard - Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

Abstract:

One of the challenges of users in social networks is that some pictures that other members upload to the social network is not as viewable as it should be and some of them require image enhancement specially for low vision users. In this paper, we have performed literature review on some of the image enhancement techniques and algorithm that has been used to improve the viewability of image and based on the features of those algorithms that has been used to performed image enhancement and using association rules of data mining, we have proposed a novel framework which can perform image enhancement automatically on the pictures which need enhancements in social networks to find the most suitable image enhancement algorithm for each pictures, hence pictures which needs image enhancement will be detected and proper image enhancement algorithm will be implemented on them. To validate our work, we have started a study on gegli.com social network. Primary results show promising results although more studies are needed

Keywords:

image enhancement, image processing, social network, low vision users, data mining

Paper COI Code

This Paper COI Code is TECCONF02_002. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/744579/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Hajarian, Mohammad and Bastanfard, Azam,1396,An Image Enhancement Framework For Low Vision Users of Social Networks,2nd Conference on Technology in Electrical and Computer Engineering,Semnan,https://civilica.com/doc/744579

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 8,149
In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.

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