NONE 20260406122858331 wseas/wseas content-registration-form+ja@crossref.org content-registration-form WSEAS TRANSACTIONS ON SIGNAL PROCESSING 1790-5052 2224-3488 Evren Tanriover Department of Mathematics Engineering, Istanbul Technical University, Istanbul, TURKEY Ahmet Kiris Department of Mathematics Engineering, Istanbul Technical University, Istanbul, TURKEY Burcu Tunga Department of Mathematics Engineering, Istanbul Technical University, Istanbul, TURKEY Rician noise is one of the main distortion sources in magnetic resonance imaging (MRI) and in several other biomedical imaging techniques. It usually reduces the sharpness of the image, which makes diagnosis more difficult in practical applications. Our study uses the Total Variation Full Fractional (TVFF) method to reduce the influence of Rician noise. The concept of Caputo-type fractional derivatives is applied in both spatial and temporal variables and provides better noise reduction than the classical models. 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