Over the last decade, it has been demonstrated that many systems in science and
engineering can be modeled more accurately by fractional-order than integer-order …

Image textures, as a kind of local variations, provide important information for the human
visual system. Many image textures, especially the small-scale or stochastic textures, are …

Bringing a single still image into reality is a challenging topic in computer animation
because the driven and structural information in single still image is inadequate. In this …

To improve the artifacts of the restoration results restored by existing blind restoration
method, an effective image blind restoration method using self-similarity as prior information …

This paper explores the non-convex composition optimization consisting of inner and outer
finite-sum functions with a large number of component functions. This problem arises in …

Recently, the method based on fractional order partial differential equation has been used in
image processing. Usually, the optional order of fractional differentiation is determined by a …

We propose a discrete curvature based approach to the intelligence and classification of
textures in images, with special emphasis on natural ones. We make appeal to a number of …

In this paper, we propose a novel model for the decomposition of cartoon–texture images,
which integrates the edge-aware weighted least squares (WLS) with low-rank regularization …

Superresolution is a concept to increase the resolution. The main objective of this paper is
the study of iterative curvature based method for super-resolving low resolution of a leaf …

Texture features have played an essential role in the field of medical imaging for computer-
aided diagnosis. The gray-level co-occurrence matrix (GLCM)-based texture descriptor has …