We compare our super-resolution (SR) method to results from the example based methods of [Freeman et al.] and [Kim et al.], as well as to the method of [Fattal]. Note that our results are comparable, even though we do not use any external database of low-res/high-res pairs of patches [Freeman et al., Kim et al.], nor a parametric learned edge model [Fattal]. The images we compare on and the results of the other methods [Freeman et al., Kim et al., Fattal] were taken from their papers.

[Freeman et all.]W. T. Freeman, T. R. Jones, and E. C. Pasztor. Example-based super-resolution. IEEE Computer Graphics and Applications, 22(2):56-65, 2002.

[Kim et al.]K. I. Kim and Y. Kwon. Example-based learning for single-image super-resolution and JPEG artifact removal. Technical Report 173, 08 2008.

[Fattal]R. Fattal. Image upsampling via imposed edge statistics. ACM Trans. Graphics (Proc. SIGGRAPH 2007), 26(3):95-102, 2007.

