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

We propose a novel pipeline and related software tools for processing the multi-light image
collections (MLICs) acquired in different application contexts to obtain shape and …

We review the central results concerning wavelet methods in multifractal analysis, which
consists in analysis of the pointwise singularities of a signal, and we describe its recent …

Texture characterization is a central element in many image processing applications.
Multifractal analysis is a useful signal and image processing tool, yet, the accurate …

Texture characterization of natural images using the mathematical framework of multifractal
analysis (MFA) enables the study of the fluctuations in the regularity of image intensity …

We present a practical acquisition and processing pipeline to characterize the surface
structure of cultural heritage objects. Using a free-form Reflectance Transformation Imaging …

The characterization and estimation of the Hölder regularity of random fields has long been
an important topic of Probability theory and Statistics. This notion of regularity has also been …

Marchesi, M. Marchesi, M. (2017, No ember 30). . Retrie ed from https://hdl.handle.net/1887/59473
Version: Not pplicable (or Unk Page 1 Marchesi, M. Marchesi, M. (2017, No ember 30) …

Digital imaging and signal processing technologies offer new methods for inkjet and
photographic media engineers and manufacturers, and those responsible for product quality …

Large-scale digitization appears to put literary collections at one's fingertips, but, as some
critics warn, the books themselves are increasingly out of reach as university libraries …