선호도 학습을 통한 이미지 개선 알고리즘 구현

Implementation of Image Enhancement Algorithm using Learning User Preferences

  • 이유경 (백석문화대학교 스마트폰미디어학부) ;
  • 이용환 (원광대학교 디지털콘텐츠공학과)
  • Lee, YuKyong (Dept. of Smart Phone Media, BaekSeok Culture University) ;
  • Lee, Yong-Hwan (Dept. of Digital Contents, Wonkwang University)
  • 투고 : 2018.03.20
  • 심사 : 2018.03.23
  • 발행 : 2018.03.31

초록

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.

키워드

참고문헌

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