In this work, a single image dehazing method that improves the haze removal capacity of the
Joint Contrast Enhancement and Exposure Fusion (CEEF) method with Smoothing …

Traditional image denoising methods, which do not depend on data training, have good
interpretability. However, traditional image denoising methods hardly achieve the denoising …

Single-image dehazing plays a significant preprocessing role in machine vision tasks. As
the dark-channel-prior method will fail in the sky region of the image, resulting in …

In this research, an image defogging algorithm is proposed for the electricity transmission
line monitoring system in the smart city. The electricity transmission line image is typically …

Skin cancer is a prevalent form of cancer that necessitates prompt and precise detection.
However, current diagnostic methods for skin cancer are either invasive, time-consuming, or …

The detrimental effects of atmospheric haze frequently plague outdoor imagery. This
phenomenon arises from the scattering of light by minute particles within the ambient …

The images in foggy weather are often degraded which may affect the object detection
process. Hence, in recent times, several schemes have been designed to eliminate the haze …

Video in an outdoor environment suffers from the haze problem due to smoke, dust, and
other particles in the atmosphere. The quality of video under these atmospheric conditions is …

The fusion technology, combining infrared and visible modes, has the potential to enhance
the semantic content of backgrounds, thereby improving scene interpretability. However …

Haze imagery suffers from reduced clarity, which can be attributed to atmospheric conditions
such as dust or water vapor, resulting in blurred visuals and heightened brightness due to …