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 …

Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …

An underwater image often suffers from quality degradation issues, such as color deviations,
low contrast, and blurred details, due to the absorption and scattering of light. In this article …

Saturation information in hazy images is conducive to effective haze removal, However,
existing saturation-based dehazing methods just focus on the saturation value of each pixel …

Single-image haze removal is challenging due to its ill-posed nature. The breadth of real-
world scenarios makes it difficult to find an optimal dehazing approach that works well for …

Traffic sign detection is of great significance to the development of the Intelligent
Transportation System (ITS) as a database for environmental awareness. The main …

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 …

Underwater imaging is usually degraded by low contrast or color cast due to light absorption
and scattering. This fact limits the accuracy of object recognition in underwater and marine …

Remote sensing images taken during poor environmental conditions are degraded by the
scattering of atmospheric particles, which affects the performance of many imaging systems …

Haze usually causes severe interference to image visibility. Such degradation on images
troubles both human observers and computer vision systems. To seek high-quality images …