Paper ID: 2411.05265

Image Decomposition: Theory, Numerical Schemes, and Performance Evaluation

Jerome Gilles

This paper describes the many image decomposition models that allow to separate structures and textures or structures, textures, and noise. These models combined a total variation approach with different adapted functional spaces such as Besov or Contourlet spaces or a special oscillating function space based on the work of Yves Meyer. We propose a method to evaluate the performance of such algorithms to enhance understanding of the behavior of these models.

Submitted: Nov 8, 2024