Objectives To evaluate an improved quantitative lung fibrosis score based on a computer-
aided diagnosis (CAD) system that classifies CT pixels with the visual semi-quantitative …

We propose a novel cartoon-texture separation model using a sparse low-rank
decomposition. Our texture model connects the separate ideas of robust principal …

Probably the most important technological invention of the previous century was the
transistor. And another very important invention was the digital computer, which got a …

The total variation model proposed by Rudin, Osher, and Fatemi performs very well for
removing noise while preserving edges. However, it favors a piecewise constant solution in …

A noisy low-light image enhancement algorithm based on structure-texture-noise (STN)
decomposition is proposed in this work. We split an input image into structure, texture, and …

A general primal-dual splitting algorithm for solving systems of structured coupled monotone
inclusions in Hilbert spaces is introduced and its asymptotic behavior is analyzed. Each …

In this paper, we consider decomposing an image into its cartoon and texture components.
Traditional methods, which mainly rely on the gradient amplitude of images to distinguish …

In this paper, we present some theoretical results about a structures-textures image
decomposition model which was proposed by the second author. We prove a theorem which …

This paper provides new theoretical connections between multi-time Hamilton--Jacobi
partial differential equations and variational image decomposition models in imaging …

This paper describes the many image decomposition models that allow separate structures
and textures or structures, textures, and noise. These models combined a total variation …