This paper proposes a new framework for low-light image enhancement by simultaneously
conducting the appearance as well as structure modeling. It employs the structural feature to …

Modern handheld devices can acquire burst image sequence in a quick succession.
However, the individual acquired frames suffer from multiple degradations and are …

The exclusive properties of RAW data have shown great potential for low-light image
enhancement. Nevertheless, the performance is bottlenecked by the inherent limitations of …

Low-light image enhancement, a pervasive but challenging problem, plays a central role in
enhancing the visibility of an image captured in a poor illumination environment. Due to the …

A practical low-light enhancement solution must be computationally fast, memory-efficient,
and achieve a visually appealing restoration. Most of the existing methods target restoration …

Modern image-based deblurring methods usually show degenerate performance in low-light
conditions since the images often contain most of the poorly visible dark regions and a few …

Images captured from low-light scenes often suffer from severe degradations, including low
visibility, color casts, intensive noises, etc. These factors not only degrade image qualities …

Event cameras are bio-inspired vision sensors with a high dynamic range (140 dB for event
cameras vs. 60 dB for traditional cameras) and can be used to tackle the image degradation …

On a shutter press, modern handheld cameras capture multiple images in rapid succession
and merge them to gen-erate a single image. However, individual frames in a burst are …

Polarization-based vision algorithms have found uses in various applications since
polarization provides additional physical constraints. However, in low-light conditions, their …