Effective Image Dehazing by Multiband Image Fusion
Peng Cheng, Hu Chen · 2016
Image dehazing is of great importance since haze-free images are visually pleasuring and the clear visibility of image is a prerequisite for most modern intelligent systems. Although different kinds of methods have been presented, they tend to be complex and their performance may vary with scenes. In terms of this, a novel method using a visible and an near-infrared image of the same scene for haze removal is proposed in this paper. It is achieved through a multiband image fusion approach, followed by a segmentation and a filtering strategy. And there is no need to infer the atmospheric parameters or generate the depth information. Experiments on real outdoor images validate the proposed method.