We propose a single image super-resolution method based on a
L0 smoothing approach. We consider a low-resolution image as two parts: one
is the smooth image generated by the L0 smoothing method and the other is
the error image between the low-resolution image and the smoothing image. We
get an intermediate high-resolution image via a classical interpolation and then
generate a high-resolution smoothing image with sharp edges by the L0 smoothing
method. For the error image, a learning-based super-resolution approach, keeping
image details well, is employed to obtain a high-resolution error image. The
resulting high-resolution image is the sum of the high-resolution smoothing image
and the high-resolution error image. Experimental results show the effectiveness
of the proposed method
