Abstract: In order to preserve the basic information of images and to improve their visual
performance and space resolution, a novel image zooming algorithm is proposed by using
improved weighted parabolic interpolation and wavelet transformation which incorporates the
error-amended part into the classical weighted parabolic interpolation algorithm. Directions of
interpolation points are determined by the Sobel operator, then a preliminary zoomed image is
obtained. High-frequency components are got by a wavelet transformation, and low-frequency
components are replaced by the enhanced amplitude of the original image. At last, a
high-resolution image is achieved by inverse wavelet 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 zooming, wavelet transformation, error-amended sharp edge scheme;
super-resolution