The Dynamic Scattering Coefficient on Image Dehazing Method with Different Haze Conditions

The dust, mist, haze, and smokiness of the atmosphere typically degrade images from the light and absorption. These effects have poor visibility, dimmed luminosity, low contrast, and distortion of colour. As a result, restoring a degraded image is difficult, especially in hazy conditions. The image dehazing method focuses on improving the visibility of image details while preserving image colours without causing data loss. Many image dehazing methods achieve the goal of removing haze while also addressing other issues such as oversaturation, colour distortion, and halo artefacts. However, some of the approaches could solve these problems and be effective at a certain level of haze. A volume of various haze level data is required to demonstrate the efficiency of the image dehazing method in removing haze at all haze levels and obtaining the image's quality. This study proposed a new dataset by simulating synthetic haze in images of outdoor scenes. The synthetic haze simulation is based on the meteorological range and works on specific haze conditions. In addition, this paper introduced a dynamic scattering coefficient to the dehazing algorithm to determine the appropriate visibility range for different haze conditions. These proposed methods improve on the current state-of-the-art dehazing method in terms of image quality measurement results.