Improvement of image zooming using least directional differences based on linear and cubic interpolation

There are many interpolation methods, among them, bilinear (BL) and bicubic (BC) are more popular. However, these methods suffer from low quality edge blurring and aliasing effect. In the other hand, if high resolution images are not available, it is impossible to produce high quality display images and prints. To overcome this drawback, in this paper, we proposed a new method that uses least directional differences of neighbor pixels, based on preceding bilinear and bicubic interpolation methods for images. The qualitative and quantitative results of proposed technique show that this method improves bilinear and bicubic interpolations. The proposed algorithm can also be applied both to RGB and gray level images.