Ultrasound (US) imaging is widely employed in medical diagnostics due to its non-invasive nature and real-time imaging ability. The existence of mixed noise, consisting of Gaussian and speckle noise, significantly impairs image quality, hindering accurate diagnosis. This study introduces an advanced fuzzy logic-based technique for noise reduction to enhance US image quality while preserving essential structural information. The proposed approach utilizes a modified Gaussian membership function to improve the filtering process, ensuring adaptive noise reduction across varying noise levels. The system is evaluated on synthetic and clinical US images using diverse image quality assessment metri... More >