Poor weather conditions, such as fog, haze, and mist, cause visibility degradation in
captured images. Existing imaging devices lack the ability to effectively and efficiently …

Camera sensors often fail to capture clear images or videos in a poorly lit environment. In
this paper, we propose a trainable hybrid network to enhance the visibility of such degraded …

Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. To solve this problem, many image enhancement techniques have …

Image enhancement plays an important role in image processing and analysis. Among
various enhancement algorithms, Retinex-based algorithms can efficiently enhance details …

Since the light is absorbed and scattered while traveling in water, color distortion, under-
exposure and fuzz are three major problems of underwater imaging. In this paper, a novel …

Haze can seriously affect the visible and visual quality of outdoor images. As a challenge in
practice, image dehazing techniques are always used to remove haze from the captured …

In this article, a novel low-light image enhancement (LIME) using reflection model and
principal component analysis (PCA) has been proposed. The proposed algorithm works …

Remote sensing images are widely used in object detection and tracking, military security,
and other computer vision tasks. However, remote sensing images are often degraded by …

Image enhancement is one of the key issues in high quality pictures such as digital camera
and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that …

Improving the aesthetic quality of images is challenging and eager for the public. To address
this problem, most existing algorithms are based on supervised learning methods to learn …