Single image dehazing based on fast wavelet transform with weighted image fusion

H. Zhang, Xuan Liu, Zhitong Huang, Yuefeng Ji
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引用次数: 15

Abstract

Due to the presence of bad weather conditions, images captured in outdoor environments are usually degraded. In this paper, a novel single image dehazing method is proposed to enhance the visibility of such degraded images. Since the property of haze is widely spread, the estimated transmission should be smoothly changed over the scene. The fast wavelet transform (FWT) is introduced to estimate the smooth transmission in our work. To preserve more details and correct the color distortion, a solution based on weighted image fusion strategy is provided. Compared with the state-of-the-art single image dehazing methods, our method based on FWT with weighted image fusion (FWTWIF) produces similar or even better results with lower complexity. In order to verify the high visibility restoration and efficiency of our method, comparative experiments are conducted at the end of this paper.
基于快速小波变换和加权图像融合的单幅图像去雾
由于恶劣天气条件的存在,在室外环境中拍摄的图像通常会降级。本文提出了一种新的单幅图像去雾方法,以提高退化图像的可见性。由于雾霾的性质是广泛传播的,估计的传输应该在场景中平滑地改变。在工作中引入快速小波变换(FWT)来估计平滑传输。为了保留更多的细节和纠正颜色失真,提出了一种基于加权图像融合策略的解决方案。与目前最先进的单幅图像去雾方法相比,我们的基于FWT和加权图像融合(FWTWIF)的方法以更低的复杂度获得了相似甚至更好的结果。为了验证该方法的高可视性恢复和高效性,本文最后进行了对比实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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