Underwater image processing is an intelligence research field that has great potential to
help developers better explore the underwater environment. Underwater image processing …

Image enhancement is an essential technique used in many imaging applications. The main
motivation of image enhancement is processing an image to be more suitable for specific …

Due to the refraction and absorption of light by water, underwater images usually suffer from
severe degradation, such as color cast, hazy blur, and low visibility, which would degrade …

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 …

Quality evaluation of underwater images is a key goal of underwater video image retrieval
and intelligent processing. To date, no metric has been proposed for underwater color …

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 …

This paper proposes an algorithm that enhances the contrast of an input image using
interpixel contextual information. The algorithm uses a 2-D histogram of the input image …

This paper proposes a novel algorithm, which enhances the contrast of an input image using
spatial information of pixels. The algorithm introduces a new method to compute the spatial …

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 …