Collaborative filters perform denoising through transform-domain shrinkage of a group of
similar patches extracted from an image. Existing collaborative filters of stationary correlated …

Two steels, ferrite and ferrite-pearlite were thoroughly characterized by a multi-instrumental
microscopy techniques to get detailed information about their microstructure and magnetic …

Digital mammography is currently the most common imaging tool for breast cancer
screening. Although the benefits of using digital mammography for cancer screening …

Molecular communication is a new, active area of research that has created a paradigm shift
in the way a communication system is perceived. An artificial molecular communication …

Investigation of nuclear lamina architecture relies on superresolved microscopy. However,
epitope accessibility, labeling density, and detection precision of individual molecules pose …

Sparse signal recovery consists of employing a sparsity promoting regularizer to estimate
the underlying signal from an incomplete set of measurements. Typical recovery approaches …

We propose a realistic film grain rendering algorithm based on statistics derived analytically
from a physics-based Boolean model that Newson et al. adopted for Monte Carlo …

In digital mammography, the physics of the acquisition system and post-processing
algorithms can cause image noise to be spatially correlated. Noise correlation is …

Steganography is the discipline concerned with techniques designed to embed hidden data
into an innocuous cover media. In the case of this manuscript, the cover media of choice are …

Blob detection and image denoising are fundamental, sometimes related tasks in computer
vision. In this paper, we present a computational method to quantitatively measure blob …