Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …

This chapter provides an introduction to the Super-Resolution (SR) research area, by
explaining some basic techniques of SR, an overview of the literature, and discussions …

Automatic pain detection is a long expected solution to a prevalent medical problem of pain
management. This is more relevant when the subject of pain is young children or patients …

A novel depth super-resolution approach for RGB-D sensors is presented. It disambiguates
depth super-resolution through high-resolution photometric clues and, symmetrically, it …

In this paper, we propose a new super resolution technique based on the interpolation
followed by registering them using iterative back projection (IBP). Low resolution images are …

A novel approach towards depth map super-resolution using multi-view uncalibrated
photometric stereo is presented. Practically, an LED light source is attached to a commodity …

Color models are used for facilitating the specification of colors in a standard way. A suitable
color model is associated with every application based on color space. This paper mainly …

In this study, a novel single image super‐resolution (SR) method, which uses a generated
dictionary from pairs of high‐resolution (HR) images and their corresponding low‐resolution …

In this paper, Iterative Back Projection (IBP) technique is improved by using bicubic
resampling. The improvement in the performance is achieved by adding bicubic …

This study presents a novel sparse‐representation based multi‐frame super‐resolution (SR)
technique to reconstruct a high‐resolution (HR) frame from multiple noisy low‐resolution …