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Implementation of Image Enhancement Algorithm using Learning User Preferences  

Lee, YuKyong (Dept. of Smart Phone Media, BaekSeok Culture University)
Lee, Yong-Hwan (Dept. of Digital Contents, Wonkwang University)
Publication Information
Journal of the Semiconductor & Display Technology / v.17, no.1, 2018 , pp. 71-75 More about this Journal
Abstract
Image enhancement is a necessary end essential step after taking a picture with a digital camera. Many different photo software packages attempt to automate this process with various auto enhancement techniques. This paper provides and implements a system that can learn a user's preferences and apply the preferences into the process of image enhancement. Five major components are applied to the implemented system, which are computing a distance metric, finding a training set, finding an optimal parameter set, training and finally enhancing the input image. To estimate the validity of the method, we carried out user studies, and the fact that the implemented system was preferred over the method without learning user preferences.
Keywords
Image Enhancement; User Preference; Training Image; Machine Learning;
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