Multiscale Single Image Dehazing Based on Adaptive Wavelet Fusion

Abstract EN

Removing the haze effects on images or videos is a challenging and meaningful task for image processing and computer vision applications.

In this paper, we propose a multiscale fusion method to remove the haze from a single image.

Based on the existing dark channel prior and optics theory, two atmospheric veils with different scales are first derived from the hazy image.

Then, a novel and adaptive local similarity-based wavelet fusion method is proposed for preserving the significant scene depth property and avoiding blocky artifacts.

Finally, the clear haze-free image is restored by solving the atmospheric scattering model.

Experimental results demonstrate that the proposed method can yield comparative or even better results than several state-of-the-art methods by subjective and objective evaluations.