s Ketabchi - Department of Mathematics, University of Guilan, P.O. Box ۳۷۵۶, Rasht, Iran
m kianpour - Department of Mathematics, University of Guilan, P.O. Box ۳۷۵۶, Rasht, Iran
r valizadeh - Department of Mathematics, University of Guilan, P.O. Box ۳۷۵۶, Rasht, Iran
M. J. Mahmoodabadi - Department of Mechanical Engineering, Takestan Branch, Islamic Azad University, Takestan, Iran

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 arecomputed by Moving Least Square (MLS) approximation based on both the quadratic spline andGaussian-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).

Image Zooming,Moving least squares,Bilinear interpolation,Bicubic interpolation