Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

As the quality of optical sensors improves, there is a need for processing large-scale
images. In particular, the ability of devices to capture ultra-high definition (UHD) images and …

Atmospheric scattering model (ASM) is one of the most widely used model to describe the
imaging processing of hazy images. However, we found that ASM has an intrinsic limitation …

We propose a straightforward and efficient fusion-based method for enhancing weakly
illumination images that uses several mature image processing techniques. First, we employ …

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 …

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 …

Due to the light absorption and scattering, captured underwater images usually contain
severe color distortion and contrast reduction. To address the above problems, we combine …

Low-light image enhancement based on deep convolutional neural networks (CNNs) has
revealed prominent performance in recent years. However, it is still a challenging task since …

Images captured in hazy or foggy weather conditions are seriously degraded by the
scattering of atmospheric particles, which directly influences the performance of outdoor …

In this work, a novel and ultra-robust single image dehazing method called IDRLP is
proposed. It is observed that when an image is divided into regions, with each region having …