基于加权近红外图像融合的单幅图像除雾方法

Single Image Defogging Method Based on Weighted Near-InFrared Image Fusion

传统图像除雾方法存在无雾区域中图像对比度过高的问题,导致在某些情况下生成的图像视觉效果不够自然。为了得到自然清晰的除雾图像,提出了一种基于加权近红外(Near-InFrared,NIR)图像融合的新型单幅图像除雾方法,通过将NIR图像的细节成分融合到同一场景的可见光图像中来恢复图像对比度,并使用透射图对NIR图像进行加权,从而防止无雾区域出现过度增强。实验结果表明,相比传统的单幅图像除雾方法,所提方法可以有效地恢复图像对比度,并且不会过分强化无雾区域,具有更高的PSNR值和SSIM值。

The traditional image defogging method has the problem that the image contrast in the fog-free area is too high,which causes the generated image visual effect is unnatural in some cases.In order to obtain natural and clear defogging images,a new single image defogging method based on weighted near-infrared(NIR)image fusion is proposed.Image contrast is restored by fusing the detail components of NIR images into visible images of the same scene.The NIR image is weighted using the transmission map to prevent excessive enhancement in the fog-free region.The experimental results show that compared with the traditional single image defogging methods,the proposed method can effectively restore the image contrast,does not excessively strengthen the fog-free area,and has higher PSNR and SSIM values.