From sparse solutions of underdetermined linear systems of equations to high-Dimensional modeling of data manifolds,  Sparse representation presents an  appealing and very strong model that can be used in a variety of applications. Coupled with dictionary learning, we demonstrate the strength of this methodology for inverse problems, compression, and classification.

Denoising

In-painting