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 this paper, we propose a new interpolation-based method of image super-resolution
reconstruction. The idea is using multisurface fitting to take full advantage of spatial structure …

In this paper, we present a multimodal personal identification system that fuses finger vein
and finger dorsal images at the feature level. First, we design an image acquisition device …

Point cloud registration (PCR) is an important task in both computer vision and pattern
recognition. However, since the success of most existing two-stage PCR methods largely …

It is extremely important and necessary for low computing power or portable devices to
design more lightweight algorithms for image super-resolution (SR). Recently, most SR …

We have witnessed substantial growth in super-resolution research within the computer
vision community. Unlike previous works that mainly focus on the super-resolution synthesis …

A new, fast and computationally efficient lateral subpixel shift registration algorithm is
presented. It is limited to register images that differ by small subpixel shifts otherwise its …

Image registration is defined as an important process in image processing in order to align
two or more images. A new image registration algorithm for translated and rotated pairs of …

High fidelity optoacoustic (photoacoustic) tomography requires dense spatial sampling of
optoacoustic signals using point acoustic detectors. However, in practice, spatial resolution …

Video super-resolution (SR) has important real world applications such as enhancing
viewing experiences of legacy low-resolution videos on high resolution display devices …