Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …

In real scenes, due to the problems of low light and unsuitable views, the images often
exhibit a variety of degradations, such as low contrast, color distortion, and noise. These …

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 …

Recent advances in artificial intelligence have led to deepfake images, enabling users to
replace a real face with a genuine one. deepfake images have recently been used to malign …

Images captured in low-light conditions present significant challenges for accurate object
detection due to factors such as high noise, poor illumination, and low contrast. In this study …

Arbuscular mycorrhizas (AM) are one of the most widespread symbiosis on earth. This plant-
fungus interaction involves around 72% of plant species, including most crops. AM …

Deep neural networks provide intelligent solutions for Automatic Modulation Classification
(AMC) tasks in the field of communication. However, their susceptibility to adversarial …

Inadequate illumination often causes severe image degradation, such as noise and artifacts.
These types of images do not meet the requirements of advanced visual tasks, so low-light …

Homomorphic filtering (HF) is a methodology that separates an image into two components:
illumination and reflectance. Through the processing of these components, it is possible to …

Fluorescence images enhancement is important as it can provide more information for
medical diagnosis. In this work, we design three simple yet useful filters based on the …