Adaptive Image Zooming Method Based on Hermite-Type Interpolation Spline with Local Control Parameters

An adaptive interpolation algorithm is presented based on the Hermite-type interpolation polynomial to improve the limitation of the traditional algorithm for image resizing. The new method for image zooming uses kernel with Hermite-type interpolation spline with local control parameters, which provides a smaller interpolation error and reasonable computing times. Moreover, the method can preserve the contours or edges of images by adjusting the corresponding local parameters. It is a more accurate and fast approximation for the ideal kernel function in space domain than that of other linear polynomial interpolation methods. Then the efficiency of our method is compared with that of the traditional algorithm for image resizing in Matlab 7. The experimental results show that our proposed algorithm excels the bicubic interpolation in visual effect and complexity. Therefore, the introduced algorithm adapts to real-time image resizing.