Image restoration under adverse weather conditions has been of significant interest for
various computer vision applications. Recent successful methods rely on the current …

Depth image denoising is increasingly becoming the hot research topic nowadays, because
it reflects the three-dimensional scene and can be applied in various fields of computer …

Removal of noise from an image is an extensively studied problem in image processing.
Indeed, the recent advent of sophisticated and highly effective denoising algorithms has led …

Enhancers are important regulatory elements that can control gene activity across vast
genetic distances. However, the underlying nature of this regulation remains obscured …

The robust detection of small targets is one of the key techniques in infrared search and
tracking applications. A novel small target detection method in a single infrared image is …

We propose a novel image denoising strategy based on an enhanced sparse representation
in transform domain. The enhancement of the sparsity is achieved by grouping similar 2D …

In this article, the author presents a practical and accessible framework to understand some
of the basic underpinnings of these methods, with the intention of leading the reader to a …

Little is known about how neutrophils and other cells establish a single zone of actin
assembly during migration. A widespread assumption is that the leading edge prevents …

Sparse representations of signals have drawn considerable interest in recent years. The
assumption that natural signals, such as images, admit a sparse decomposition over a …

Ribonucleoprotein (RNP) granules are enriched in specific RNAs and RNA-binding proteins
(RBPs) and mediate critical cellular processes. Purified RBPs form liquid droplets in vitro …