关键词: 去雾霾, 去雨雪, 去沙尘, 伽马校正, 图像分类器

Abstract: An adaptive single image enhancement algorithm is proposed to deal with serious image degradation in haze, dust, rain, snow and other extreme weather. First, an image classifier is designed to judge whether the image is degraded. If so, different methods are taken to process the image separately according to chrominance components. Second, the transmittance of haze images is obtained by segmenting the bright area based on dark channel prior algorithm, which improves halo phenomenon occurred in restored image. What’s more, this method is extended to snow images. For dust images, Gamma correction is introduced in limited contrast adaptive histogram equalization algorithm to correct contrast and brightness imbalance problems. Finally, compared with other algorithms, this method improves the clarity of the image and also avoids the generation of halo. It solves the contrast and brightness imbalance problem in dust image enhancement.

Key words: haze removal, rain and snow removal, dust removal, Gamma correction, image classifier