计算机科学
像素
能见度
人工智能
计算机视觉
直线(几何图形)
漫射天空辐射
图像(数学)
图像复原
散射
传输(电信)
像面
光学(聚焦)
编码(集合论)
还原(数学)
强度(物理)
图像处理
大气模式
图像渐变
平面(几何)
扫描线
衰减
模式识别(心理学)
结构张量
光学
大气校正
作者
Lei He,Zunhui Yi,Pei Li,Siyi Wang,Chaoyang Chen,Ming Lu
标识
DOI:10.1109/tmm.2026.3660138
摘要
Images captured in hazy environments experience gradient reduction due to the scattering of light by atmospheric particles, yet few existing dehazing methods utilize the gradients of hazy images to restore the visibility of the scene. In this paper, we propose an efficient dehazing method based on gradient line prior. By associating image gradients in atmospheric scattering model, we obtain a stable and simple prior, termed the gradient line prior (GLP), that is, in the corresponding hazy images normalized by atmospheric light, there is a linear relationship between the reciprocal of the gradients distributed across different regions of the hazy image plane and the corresponding ratio of pixel intensity to the gradient. For accurate estimation of the transmission map, its refinement is realized through the analysis of the distribution characteristics of pixels in three channels. Experimental results demonstrate that, compared to different dehazing methods, our approach exhibits good detail enhancement and color restoration performance. The code is available at: https://github.com/heyuanlei/Gradient-Line-Prior.
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