Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …

Image captured under poor-illumination conditions often display attributes of having poor
contrasts, low brightness, a narrow gray range, colour distortions and considerable …

Underwater images suffer from blurring effects, low contrast, and grayed out colors due to
the absorption and scattering effects under the water. Many image enhancement algorithms …

Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. Although many image enhancement techniques have been …

The general purpose of seeing a picture is to attain information as much as possible. With it,
we in this paper devise a new no-reference/blind metric for image quality assessment (IQA) …

Proper contrast change can improve the perceptual quality of most images, but it has largely
been overlooked in the current research of image quality assessment (IQA). To fill this void …

Underwater image enhancement is an important low-level computer vision task for
autonomous underwater vehicles and remotely operated vehicles to explore and …

No-reference (NR) image quality assessment is essential in evaluating the performance of
image enhancement and retrieval algorithms. Much effort has been made in recent years to …

This paper introduces a new unsharp masking (UM) scheme, called nonlinear UM (NLUM),
for mammogram enhancement. The NLUM offers users the flexibility 1) to embed different …

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 …