改善在恶劣天气条件下拍摄的单幅朦胧图像的能见度

Bo-Hao Chen, Shih-Chia Huang
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引用次数: 7

摘要

雾霾去除是在恶劣天气下,从朦胧图像中消除水平遮挡的过程。沙尘暴呈现出特别具有挑战性的条件,在沙尘暴期间拍摄的图像通常由于光谱吸收不足而出现色差效应。在本文中,我们提出了一种新型的雾霾去除方法,该方法采用混合光谱分析和暗通道先验相结合的方法来修复色移,从而实现沙尘暴期间捕获的雾霾图像的有效恢复。恢复结果和定性评价表明,与以前的最先进的方法相比,我们提出的方法可以提供更好的恢复结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Visibility of Single Hazy Images Captured in Inclement Weather Conditions
Haze removal is the process by which horizontal obscuration is eliminated from hazy images captured during inclement weather. Sandstorms present a particularly challenging condition, images captured during sandstorms often exhibit color-shift effects due to inadequate spectrum absorption. In this paper, we present a new type of haze removal approach which uses a combination of hybrid spectrum analysis and dark channel prior in order to repair color shifts and thereby achieve effective restoration of hazy images captured during sandstorms. The restoration results and qualitative evaluation demonstrate that our proposed approach can provide superior restoration results for images captured during sandstorms in comparison with the previous state-of-the-art approach.
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