图像稀疏表示文献

In this paper, we present a multi-scale dictionary learning paradigm for sparse and redundant signal representa- tions. The appeal of such a dictionary is obvious—in many cases data naturally comes at different scales. A multi-scale dictionary should be able to combine the advantages of generic mult