Conventional image interpolation introduces blur and jagged edges. Existing improved interpolation algorithm obtains better visual quality of interpolated images than traditional interpolation algorithm. But interpolated images may still introduce jagged edges or distortion around the edge. To solve the problem

the paper proposes an improved adaptive image interpolation algorithm with gradient features. The basic idea is to first correct the special distance of interpolated pixels along one dimension on the basis of the local asymmetry features and gradient features of the original images

convert the corrected results of one dimension into two dimensions and then apply the corrected distance to conventional interpolation algorithm. Experimental results demonstrate that the improved method produces good results in regard to the peak signal-to-noise ratio(PSNR)and succeeds in preserving interpolation image edges of various directions.