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 resolving a low-resolution video is usually handled by either single-image super-
resolution (SR) or multi-frame SR. Single-Image SR deals with each video frame …

State-of-the-art video restoration methods integrate optical flow estimation networks to utilize
temporal information. However, these networks typically consider only a pair of consecutive …

Super resolving a low-resolution video, namely video super-resolution (SR), is usually
handled by either single-image SR or multi-frame SR. Single-Image SR deals with each …

The low spatial resolution of light-field image poses significant difficulties in exploiting its
advantage. To mitigate the dependency of accurate depth or disparity information as priors …

Video super-resolution is currently one of the most active research topics in computer vision
as it plays an important role in many visual applications. Generally, video super-resolution …

Despite their high popularity, common high dynamic range (HDR) methods are still limited in
their practical applicability: They assume that the input images are perfectly aligned, which is …

Light field cameras capture the 3D information in a scene with a single exposure. This
special feature makes light field cameras very appealing for a variety of applications: from …

In this paper, an irregular displacement-based lensless wide-field microscopy imaging
platform is presented by combining digital in-line holography and computational pixel super …

This paper deals with dense optical flow estimation from the perspective of the trade-off
between quality of the estimated flow and computational cost which is required by real-world …