In real scenes, due to the problems of low light and unsuitable views, the images often
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …

Ghosting artifacts caused by moving objects and misalignments are a key challenge in
constructing high dynamic range (HDR) images. Current methods first register the input low …

Low-light imaging on mobile devices is typically challenging due to insufficient incident light
coming through the relatively small aperture, resulting in low image quality. Most of the …

The visual appearance of images changes in line with varying environmental light
conditions. Adjusting the exposure of various distorted images is a highly complex process …

The aim of image restoration is to recover high-quality images from distorted ones. However,
current methods usually focus on a single task (eg, denoising, deblurring or super …

The present study proposes a novel deep-learning model for remote sensing image
enhancement. It maintains image details while enhancing brightness in the feature …

Low-light images enhancement is a challenging task because enhancing image brightness
and reducing image degradation should be considered simultaneously. Although existing …

Object detection in low-light aerial images is a challenging problem due to considerable
variation in brightness and varying contrast. Deep learning-based approaches have recently …

In dynamic scenes, images often suffer from dynamic blur due to superposition of motions or
low signal-noise ratio resulted from quick shutter speed when avoiding motions. Recovering …

Video anomaly detection is a critical problem with widespread applications in domains such
as security surveillance. Most existing methods focus on video anomaly detection tasks …