Graphics processing units (GPUs) are used today in a wide range of applications, mainly
because they can dramatically accelerate parallel computing, are affordable and energy …

At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Single image haze removal has been a challenging problem due to its ill-posed nature. In
this paper, we propose a simple but powerful color attenuation prior for haze removal from a …

A novel method for anomaly detection in hyperspectral images is proposed. The method is
based on two ideas. First, compared with the surrounding background, objects with …

Edge-preserving features (EPFs) obtained by the application of edge-preserving filters to
hyperspectral images (HSIs) have been found very effective in characterizing significant …

In order to achieve perceptually better fusion of infrared (IR) and visible images than
conventional pixel-level fusion algorithms based on multi-scale decomposition (MSD), we …

Images contain many levels of important structures and edges. Compared to masses of
research to make filters edge preserving, finding scale-aware local operations was seldom …

In this paper, we propose a novel explicit image filter called guided filter. Derived from a
local linear model, the guided filter computes the filtering output by considering the content …

We propose a fast multi-exposure image fusion (MEF) method, namely MEF-Net, for static
image sequences of arbitrary spatial resolution and exposure number. We first feed a low …

We present a new approach for performing high-quality edge-preserving filtering of images
and videos in real time. Our solution is based on a transform that defines an isometry …