Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Improved Fuzzy-associated Memory Techniques for Image Recovery

  • Zheng Zhao (Department of Artificial Intelligence, Silla University) ;
  • Kwang Baek Kim (Department of Artificial Intelligence, Silla University)
  • Received : 2024.08.12
  • Accepted : 2024.08.24
  • Published : 2024.09.30
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Abstract

This paper introduces an improved fuzzy association memory (IFAM), an advanced FAM method based on the T-conorm probability operator. Specifically, the T-conorm probability operator fuzzifies the input data and performs fuzzy logic operations, effectively handling ambiguity and uncertainty during image restoration, which enhances the accuracy and effectiveness of the restoration results. Experimental results validate the performance of IFAM by comparing it with existing fuzzy association memory techniques. The root mean square error shows that the restoration rate of IFAM reached 80%, compared to only 40% for the traditional fuzzy association memory technique.

Keywords

Acknowledgement

Following are results of a study on the "Leaders in INdustry-university Cooperation 3.0" Project, supported by the Ministry of Education and National Research Foundation of Korea.

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