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 …

Super-resolution algorithms reconstruct a high-resolution image from a set of low-resolution
images of a scene. Precise alignment of the input images is an essential part of such …

The main aim of this paper is to show the implementation and application of downscaling
cokriging for super-resolution image mapping. By super-resolution, we mean increasing the …

One prevalent method for evaluating the results of automated software analysis tools is to
compare the tools' output to the judgment of human experts. This evaluation strategy is …

Motion-Free Super-Resolution is a compilation of very recent work on various methods of
generating super-resolution (SR) images from a set of low-resolution images. The current …

Recently, there has been a great deal of work developing super-resolution reconstruction
(SRR) algorithms. While many such algorithms have been proposed, the almost SRR …

358--D6 may include or an imaging system may provide interrogat ing the Subject with
electromagnetic radiation, and generat ing, from the interrogating, image data representative …

In this paper, we study the Papoulis–Gerchberg (PG) method and its applications to domains
of image restoration such as super-resolution (SR) and inpainting. We show that the method …

The traditional SRR (super-resolution reconstruction) estimations are based on L1 or L2
statistical norm estimation therefore these SRR methods are usually very sensitive to their …

In this paper, we propose a novel technique for super-resolution imaging of a scene from
observations at different zoom levels. Given a sequence of images with different zoom …