Dehazing Method Based On Gaussian Weighted Image Fusion for Outdoor and Remote Sensing Images
Hang Yu, Chenyang Li, Suiping Zhou, Yuru Guo, Zhongqing Yan, Rui Sheng · 2023
Target detection based on outdoor and remote sensing (RS) images are used in many fields [1] , such as civil and military [2] , traffic surveillance [3] and disaster forecast [4] . However, in harsh environmental conditions, as air contaminants increase, light is scattered in the air and the image becomes hazy [5] . Therefore, image dehazing is an important issue in target detection for outdoor images and RS images. Therefore, image dehazing is an important issue in target detection for outdoor images and RS images. It has recently been proposed a variety of methods to dehaze images, which can be broadly categorized into three types: image enhancement-based, image restoration-based, and deep learning-based methods, respectively. Image enhancement-based dehazing methods highlight useful information without considering the cause of haze. Image restoration-based dehazing methods analyze the effect of atmospheric scattering model (ASM) on the image. Deep learning-based dehazing methods learn the intrinsic relationships between images and obtain clear images by training.