background: a variable resolution x-ray (vrx) ct scanner provides a great increase in the spatial resolution. in vrx ct scanners, the spatial resolution of the system and its field of view (fov) can be changed according to the object size. one of the main factors that limit the spatial resolution of vrx ct scanner is the effect of the x-ray focal spot. materials and methods: a theoretical study...

The analysis of vorticity equation offers a possibility for validation and diagnostics of a NWP model. The source terms of the equation are related to the resolved and subgrid-scale torque due to the orography and surface properties. The terms resolved by the model can be estimated from three-dimensional numerical analyses and forecasts. In the vertically integrated equation, these terms sum up...

Introduction: Variable resolution x-ray (VRX) CT is a new type of CT that can image objects at various spatial resolutions. In a VRX CT scanner, the spatial resolution increases at the cost of reduction in the field of view (FOV). An important factor that limits the spatial resolution of the VRX CT is the effect of focal spot size. Also, the optimum magnification is different at each incident a...

A super-resolution image reconstruction algorithm using natural neighbor interpolation is proposed and its performance is evaluated. The algorithm is divided into two stages: image registration and the reconstruction of a high-resolution color image. In the first stage, as shifts between images are usually unknown, the algorithm computes an approximation of these displacements by solving the sy...

Super-resolution is a process that combines information from some low-resolution images in order to produce an image with higher resolution. In most of the previous related work, the blurriness that is associated with low resolution images is assumed to be due to the integral effect of the acquisition device’s image sensor. However, in practice there are other sources of blurriness as well, inc...

Recently Learning –Based Approach for Super– resolution (SR) has been used witch generate favorable result. In this paper image super –resolution based on the multiple kernel regression is presented. This approach’s core is to learn the map between the space of high resolution image patches and the space of blurred high – resolution image patches.That are the interpolation result generated from...

The intrinsic impurity content of molybdenum and carbon was measured in the Alcator C-Mod Tokamak using low resolution, multilayer mirror (MLM) spectroscopy (∆λ ~ 1-10 Å). Molybdenum was the dominant high-Z impurity and originated from the molybdenum armor tiles covering all of C-Mod's plasma facing surfaces (including the inner column, the poloidal divertor plates, and the ICRF limiter). Despi...

This paper reviews recent results on hybrid inverse problems, which are also called coupled-physics inverse problems of multiwave inverse problems. Inverse problems tend to be most useful in, e.g., medical and geophysical imaging, when they combine high contrast with high resolution. In some settings, a single modality displays either high contrast or high resolution but not both. In favorable ...

This paper introduces two acquisition device architectures for multispectral compressive imaging. Unlike most existing methods, the proposed computational imaging techniques do not include any dispersive element, as they use a dedicated sensor which integrates narrowband Fabry-Pérot spectral filters at the pixel level. The first scheme leverages joint inpainting and super-resolution to fill in ...