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 …

CCTV cameras installed for continuous surveillance generate enormous amounts of data
daily, forging the term Big Video Data (BVD). The active practice of BVD includes intelligent …

In an environment with poor illumination, such as indoor, night, and overcast conditions, the
image information can be seriously lost, which affects the visual effect and degrades the …

Medical image fusion has brought practical applications in clinical diagnosis. However,
image fusion methods still face challenges because of problems with the quality of the input …

The quality of medical images plays a vital role in many image processing applications such
as image segmentation, feature extraction, image classification, image recognition, and …

In retinex model, images are considered as a combination of two components: illumination
and reflectance. However, decomposing an image into the illumination and reflectance is an …

Many statistical histogram-based methods perform intensity transformation on gray levels in
the statistical histogram. This may cause over-enhancement due to dominating portions of …

Histogram based image enhancement techniques are widely used for performing contrast
enhancement in images. However, most histogram based image enhancement methods …

Image enhancement is an essential step in image analysis and processing as it helps
people to recognize and understand images because their perception is greatly influenced …

Low light image enhancement algorithms intent to produce visually pleasant images and
target to extract valuable information for computer vision applications. The task of improving …