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 …

A thorough investigation of the application of support vector regression (SVR) to the
superresolution problem is conducted through various frameworks. Prior to the study, the …

In this paper, a novel method to enhance license plate numbers of moving vehicles in real
traffic videos is proposed. A high-resolution image of the number plate is obtained by fusing …

Drought is a natural phenomenon that occurs in many places on the planet and may cause
considerable damage. Selection of an integrated index for quantifying drought severity is a …

We propose an image interpolation algorithm that is nonparametric and learning-based,
primarily using an adaptive k-nearest neighbor algorithm with global considerations through …

Learning-based superresolution (SR) is a popular SR technique that uses application
dependent priors to infer the missing details in low resolution images (LRIs). However, their …

In this paper, we propose a novel superresolution (SR) reconstruction algorithm to handle
license plate texts in real traffic videos. To make license plate numbers more legible, a …

Water distribution systems are one of the most important infrastructures in urban areas. The
objective of every urban water distribution system is to deliver enough water of acceptable …

We propose a novel, learning-based algorithm for image super-resolution. First, an optimal
distance-based weighted interpolation of the image sequence is performed using a new …

We present an algorithm for the reconstruction of images from irregularly placed samples,
using linear splines with control points on a hexagonal grid. Several spline approximations …