Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Quality Measures for Image Comparison Based on Correlation of Fuzzy Sets

  • Vlachos, Ioannis K. (Faculty of Technology, Department of Electrical ＆ Computer Engineering, Aristotle University of Thessaloniki) ;
  • Sergiadis, George D. (Faculty of Technology, Department of Electrical ＆ Computer Engineering, Aristotle University of Thessaloniki)
  • Published : 2003.09.01
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Abstract

Quality measures play an important role in the field of image processing. Such measures are commonly used to assess the performance of different algorithms that are designed to perform a specific image processing task. In this paper we propose two novel measures for image quality assessment based on the notion of correlation between fuzzy sets. Two different definitions fur the correlation between fuzzy sets have been used. In order to calculate the proposed quality measures two approaches were evaluated, one with direct application of the measures to the image′s pixels and the other using the fuzzy set corresponding to the normalized histogram of the image. A comparative study of the proposed measures is performed by investigating their behavior using images with different types of distortions, such as impulsive "salt at pepper" noise, additive white Gaussian noise, multiplicative speckle noise, blurring, gamma distortion, and JPEG compression.

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