Complexity measures, defined as measures of irregularity over time scales, are the subject
of a growing number of studies as the information they reveal can find utility in a large field of …

The present study presents a framework to analyze and simulate nonhomogeneous non-
Gaussian corrosion fields on the external surface of buried in-service pipelines by using …

This paper introduces an image denoising procedure based on a 2D scale-mixing complex-
valued wavelet transform. Both the minimal (unitary) and redundant (maximum overlap) …

Texture characterization of photographic prints can provide scholars with valuable
information regarding photographers? aesthetic intentions and working practices. Currently …

This paper deals with a new anisotropic discrete dual-tree wavelet transform (ADDTWT) to
characterize the anisotropy of bone texture. More specifically, we propose to extend the …

Within industrial automation systems, three-dimensional (3-D) vision provides very useful
feedback information in autonomous operation of various manufacturing equipment (eg …

Surface texture is a critical feature in the manufacture, marketing, and use of photographic
paper. Raking light reveals texture through a stark rendering of highlights and shadows …

Multifractal analysis has traditionally been based on the pointwise Hölder regularity for
locally bounded functions. However, recently an extension to the rectangular pointwise …

In a recent past, Deep Learning emerged as a standard tool in Image Processing, commonly
involved in numerous and various tasks. Notably, Deep Learning has become increasingly …

Regions in the visual field can be characterized by differences in texture, brightness, colour,
or other attributes. Bilateral filter is an efficient way to smooth any digital image while …