Abstract:  In order to preserve the basic information of images and to improve their visual effect and space resolution, a novel image zooming algorithm was proposed by using improved weighted parabolic interpolation and Contourlet transformation. The proposed algorithm incorporates the erroramended part into the weighted parabolic interpolation algorithm. Directions of the interpolation points are determined by the Sobel operator, then we get a preliminary zoomed image. Highfrequency components are got by a Contourlet transformation, and lowfrequency components are replaced by the enhanced amplitude of the original image. A highresolution image is achieved by inverse Contourlet transformation. The experimental results indicate that, compared with traditional image zooming algorithms, this algorithm can get clearer and sharper edges due to considerations of global pixels correlation of the original image.

Key words:  image interpolation, image zooming, superresolution, Contourlet transformation, error compensation