Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L~1 Functional

摘要

This paper studies the model of minimizing total variation with an L~1-norm fidelity term for decomposing a real image into the sum of cartoon and texture. This model is also analyzed and shown to be able to select features of an image according to their scales.