摘要
在雾、霾等天气条件下,大气粒子的散射作用导致成像传感器采集的图像严重降质。图像去雾技术的任务是去除天气因素对图像质量的影响,从而增强图像的视见度。本文归纳和总结了图像去雾技术的国内外研究现状。将现有的方法分为基于物理模型和非物理模型两类,分别详细阐述了这两类方法,分析它们各自的优势和不足,并总结了算法性能评价的无参考客观质量评测准则。最后,指出该技术的研究难点和发展趋势。
Imaging in the atmosphere is often degraded by scattering due to atmospheric particles such as haze, fog and mist. The task of visibility enhancement techniques is to correct for the loss of contrast and color fidelity,which can lead to large improvement in image quality. In this paper,we present a review on established approaches for visibility enhancement of images taken under foggy and hazy conditions. These approaches are grouped into two categories, namely, physics based and non physics based. We illustrate them in detail and then characterize their strengths and limitations, respectively. Additionally, some reference-free objective quality metrics are provided for quantifying the performance related to contrast and chromatic diversity. Finally, further discussions are pointed out on technical challenges and future development.
出处
《中国图象图形学报》
CSCD
北大核心
2011年第9期1561-1576,共16页
Journal of Image and Graphics
关键词
图像去雾
视见度
颜色恒常性
大气散射模型
无参考客观质量评测
image defogging
visibility
color constancy
atmospheric scattering model
reference-free objectivequality metrics
