Remote sensing provides rich sources of data for the monitoring of land surface dynamics.
However, single-sensor systems are constrained from providing spatially high-resolution …

High-resolution is generally required and preferred for producing more detailed information
inside the digital images; therefore, this leads to improve the pictorial information for human …

In recent years, endomicroscopy has become increasingly used for diagnostic purposes and
interventional guidance. It can provide intraoperative aids for real-time tissue …

Purpose Probe-based confocal laser endomicroscopy (pCLE) is a recent imaging modality
that allows performing in vivo optical biopsies. The design of pCLE hardware, and its …

The aim of a Super resolution (SR) technique is to construct a high-resolution image from a
sequence of observed low-resolution ones of the same scene. One major roadblock of an …

Studies of land surface dynamics in heterogeneous landscapes often require satellite
images with a high resolution, both in time and space. However, the design of satellite …

Super-resolution technology is an approach that helps to restore high quality images and
videos from degraded ones. The method stems from an ill-posed minimization problem …

This brief paper presents a novel method for low-resolution face recognition. We introduce a
generalized bipartite graph to discretely approximate the underlying manifold structure of …

Evolving video applications impose requirements for high image quality, low bitrate, and/or
small computational cost. This paper combines state-of-the-art coding and superresolution …

In this paper, we propose a novel multi-frame super-resolution (SR) method, which is
developed by considering image enhancement and denoising into the SR processing. For …