  Interpolation based image zooming methods provide a high execution speed and
low computational complexity. However, the quality of the zoomed images is
unsatisfactory in many cases. The main challenge of super- resolution methods
is to create new details to the image. This paper proposes a new algorithm to
create new details using a zoom-out-zoom-in strategy. This strategy permits
reducing blurring effects by adding the estimated error to the final image.
Experimental results for natural images confirm the algorithm's ability to
create visually pleasing results.
