Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR)
image from a low-resolution (LR) observation, has been an active research topic in the area …

Super-resolution (SR) algorithms have now become a bottleneck for several remote sensing
applications. SR is a technique that enhances minute details of the image by increasing …

Recently, single image super-resolution (SISR), aiming to preserve the lost structural and
textural information from the input low resolution image, has witnessed huge demand from …

RGBD images, combining high-resolution color and lower-resolution depth from various
types of depth sensors, are increasingly common. One can significantly improve the …

This study explores the use of photometric techniques (shape-from-shading and
uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB …

Rolling element bearings are the critical parts of every rotating machinery and their failure is
one of the main reasons for the machine downtime and even breakdown. It is a big …

Abstract Satellite Image Processing is a vital field of research and development that involves
the processing of images of the Earth and satellites obtained by artificial satellites. Images …

Saliency detection represents a vital pre-processing stage of computer vision. Most existing
propagation-based salient object detection methods construct a k-regular graph for saliency …

The appearance of consumer depth cameras makes it easy to obtain depth maps of a scene.
However, the quality of depth maps is low and cannot satisfy the practical application. This …

The laser triangulation system is one of the most commonly used three-dimensional
scanners. The camera resolution is one of the most important parameters that affects the …