A New Technique for Image Zooming Based on the Moving Least Squares

In this paper, a new method for gray-scale image and color zooming algorithm based on their local information is offered. In the proposed method, the unknown values of the new pixels on the image are computed by Moving Least Square (MLS) approximation based on both the quadratic spline and Gaussian-type weight functions. The numerical results showed that this method is more preferable to bilinear interpolation in term of quality (for the quadratic spline weight function), and is comparable to bicubic interpolation (for the Gaussian-type weight function).