Improved Fuzzy-associated Memory Techniques for Image Recovery

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.