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

机译:基于快速小波变换的单幅图像脱落,用加权图像融合

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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.
机译:由于天气状况恶劣,在室外环境中捕获的图像通常会降低。 本文提出了一种新颖的单图像去吸收方法来增强这种降级图像的可见性。 由于雾度的性质广泛传播,因此应在场景中平稳地改变估计的传输。 介绍了快速小波变换(FWT)以估计我们工作中的顺利传输。 为了保持更多细节并校正颜色失真,提供了一种基于加权图像融合策略的解决方案。 与最先进的单一图像去脱色方法相比,我们基于具有加权图像融合(FWTWIF)的FWT的方法产生类似的或甚至更好的结果,具有较低的复杂性。 为了验证我们方法的高可见度恢复和效率,在本文末尾进行比较实验。

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