With the explosion in the number of digital images taken every day, the demand for more
accurate and visually pleasing images is increasing. However, the images captured by …

Removing noise from the original signal is still a challenging problem for researchers. There
have been several published algorithms and each approach has its assumptions …

Due to present of enormous free image and video editing software on the Internet, tampering
of digital images and videos have become very easy. Validating the integrity of images or …

Image processing researchers commonly assert that “median filtering is better than linear
filtering for removing noise in the presence of edges.” Using a straightforward large-n …

Methods for haplotyping and DNA copy-number typing of single cells are paramount for
studying genomic heterogeneity and enabling genetic diagnosis. Before analyzing the DNA …

Reducing noise has always been one of the standard problems of the image analysis and
processing community. Often though, at the same time as reducing the noise in a signal, it is …

Experiments were carried out to investigate the possibility of training cellular automata (CA)
to perform several image processing tasks. Even if only binary images are considered, the …

The enormous complexity of biological systems at the molecular level must be answered
with powerful computational methods. Computational biology is a young field, but has seen …

Nonlinear filtering techniques based on the theory of robust estimation are introduced. Some
deterministic and asymptotic properties are derived. The proposed denoising methods are …

Fourth-order nonlinear diffusion filters used for image noise removal are mainly isotropic
filters. It means that the spatially varying diffusivity determined by a diffusion function is …