Cubic convolution interpolation is the most complex and computationally expensive method. When the algorithm is used for operation, the smoothing effect of bilinear interpolation may lead to the loss of some information in the image, which is more significant when the image is enlarged. In other applications, the slope discontinuity of bilinear interpolation will have a bad effect on the results. Cubic convolution interpolation not only considers the influence of four neighboring pixels on the gray value, but also considers the influence of their gray value change rate. The shortcomings of the first two algorithms are made up. It can produce a smoother edge than bilinear interpolation, and the calculation accuracy is also very high. Moreover, the pixel quality loss of the processed image is the least, and the image quality is the best<br>
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