  Mixed dictionaries generated by cosine and B-spline functions are considered.
It is shown that, by highly nonlinear approaches such as Orthogonal Matching
Pursuit, the discrete version of the proposed dictionaries yields a significant
gain in the sparsity of an image representation.
