基于注意力机制的门控融合单幅图像去雾网络

Gated Fusion Single Image Dehazing Network Based on Attention Mechanism

图像去雾指去除图像中的噪声,提高图像的对比度,从而恢复出清晰的无雾图像。针对现有去雾算法去雾效果不理想的问题,笔者提出一种基于注意力机制的单幅图像去雾算法,并和一些经典的去雾算法进行对比分析。实验结果表明,与其他算法相比,所提方法能够获得更好的去雾效果。

Image defogging refers to removing the noise in the image and improving the contrast of the image,so as to restore a clear fog free image.In view of the unsatisfactory defogging effect of the existing defogging algorithms,the author proposes a single image defogging algorithm based on attention mechanism,and compares it with some classical defogging algorithms.Experimental results show that compared with other algorithms,the proposed method can achieve better defogging effect.