In the past decades, remote sensing (RS) data fusion has always been an active research
community. A large number of algorithms and models have been developed. Generative …

Several contemporaneous image processing and computer vision systems rely upon the full-
reference image quality assessment (IQA) measures. The single-scale structural similarity …

Specular highlight detection and removal are fundamental and challenging tasks. Although
recent methods achieve promising results on the two tasks by supervised training on …

In the past decades, remote sensing (RS) data fusion has always been an active research
community. A large number of algorithms and models have been developed. Generative …

For the last two decades, image processing techniques have been used frequently in
computer vision applications. The most challenging task in image processing is restoring …

Recently, removing rain streaks from a single image has attracted a lot of attention because
rain streaks can severely degrade the perceptual quality of the image and cause many …

Rain removal from a single image is a challenging and significant task of image pre-
processing. In this paper, we learn the multi-scale streaks from rainy images using feature …

In hazy weather, images and videos captured outdoor scenes often suffer from inadequate
visibility, low contrast, and color shift due to the atmospheric light scattering from the …

The growing production of digital content and its dissemination across the worldwide web
require eficient and precise management. In this context, image quality assessment …

Sandstorms pose a substantial hurdle to image clearness, affecting visibility, detail
representation, and color quality. In this study, a novel algorithm named multistep color …