Super resolution (SR) is an eminent system in the field of computer vison and image
processing to improve the visual perception of the poor-quality images. The key objective of …

Super-resolution (SR) technique reconstructs a higher-resolution image or sequence from
the observed LR images. As SR has been developed for more than three decades, both …

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 …

In many surveillance video applications, it is of interest to recognize a region of interest
(ROI), which often occupies a small portion of a low-resolution, noisy video. This paper …

Blind image deconvolution is constantly receiving increasing attention from the academic as
well the industrial world due to both its theoretical and practical implications. The field of …

In this paper, we address the super resolution (SR) problem from a set of degraded low
resolution (LR) images to obtain a high resolution (HR) image. Accurate estimation of the …

Super resolution image reconstruction allows the recovery of a high-resolution (HR) image
from several low-resolution images that are noisy, blurred, and down sampled. In this paper …

Super-resolution (SR) reconstruction technique is capable of producing a high-resolution
image from a sequence of low-resolution images. In this paper, we study an efficient SR …

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 …

Super-resolution (SR) is the term used to define the process of estimating a high-resolution
(HR) image or a set of HR images from a set of low-resolution (LR) observations. In this …