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Improved Fuzzy-associated Memory Techniques for Image Recovery

Year: 2024

Type: article

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.

Source: Journal of information and communication convergence engineering

DOI: 10.56977/jicce.2024.22.3.242

Authors: Zheng Zhao, Kwang Baek Kim

Institution: Silla University

Language: English

Topic: Chaos-based Image/Signal Encryption

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Research Foundation, Ministry of Education, National Research Foundation of Korea

OpenAlex ID: W4403001193

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