Trigonometric spline for medical image interpolation

Medical imaging deals with visualising internal structures of the human body to diagnose and treat diseases. Several image processing schemes and algorithms are introduced to overcome the challenges regarding medical image analysis. In this paper, a cubic trigonometric spline scheme with multiple quality control parameters is proposed for medical image processing. In comparison, the proposed scheme is found to be better than both the conventional bilinear and bicubic image processing techniques in terms of peak signal-to-noise ratio, root mean square error and structural similarity index measure.