High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …

Low-light image enhancement is a notoriously challenging problem. Enhancement of low-
light images is intended to increase contrast, adjust the tone, suppress noise, and produce …

Though deep learning-based object detection methods have achieved promising results on
the conventional datasets, it is still challenging to locate objects from the low-quality images …

Low-light image enhancement (LLIE) aims at improving the perception or interpretability of
an image captured in an environment with poor illumination. Recent advances in this area …

The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE),
which formulates light enhancement as a task of image-specific curve estimation with a deep …

Low-light images typically suffer from two problems. First, they have low visibility (ie, small
pixel values). Second, noise becomes significant and disrupts the image content, due to low …

Challenging illumination conditions (low-light, under-exposure and over-exposure) in the
real world not only cast an unpleasant visual appearance but also taint the computer vision …

Existing image enhancement methods are typically designed to address either the over-or
under-exposure problem in the input image. When the illumination of the input image …

Capturing photographs with wrong exposures remains a major source of errors in camera-
based imaging. Exposure problems are categorized as either:(i) overexposed, where the …

Single image dehazing is a critical image pre-processing step for subsequent high-level
computer vision tasks. However, it remains challenging due to its ill-posed nature. Existing …