![]() ![]() ![]() Besides, the scattering of particles adds non-linear and data-dependent noise to the captured image. The haze effect in the captured image is dependent on the distance from the observer to the scene. A high-quality input image (haze-free) is required to ensure the accurate working of these applications, supplied by image dehazing methods. The computer vision task associated with the mitigation of this effect is known as image dehazing. These degraded images are not acceptable for many computer vision applications such as smart transportation, video surveillance, weather forecasting, remote sensing, etc. ) and wet particles (water droplets, rain, etc.) Due to the scattering and absorption of these particles, various adverse effects, including reduced visibility and contrast, color distortions, etc. ![]() In the atmosphere, there exists two types of particles: dry particles (dust, smoke, etc. Images acquired in poor weather conditions (haze, fog, smog, mist, etc. ![]()
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