A Novel Technique to Enhance the Visibility of Sand-Dust Images

At times, we must snap pictures in the sand and dusty environments. The obtained images exhibit low visibility and color deviation properties, which have a significant negative impact on computer vision systems due to the impact of sand dust particles, light gets scattered and absorbed, leading to a blurry image with low contrast. An efficient and quick algorithm is suggested to improve the images that are recorded in order to address those issues. The approach used to improve the photos compensates for the lost value in the blue channel first. The color of the sand dust images is then corrected using white balancing technology. Guided image filtering is employed to enhance the image’s contrast and edge precision, while an adaptive technique is utilized to determine the magnification factor of the detail layer, which in turn improves the image’s detailed information.