基于天空区域分割的单幅图像去雾方法

Single Image Dehazing Method Based on Sky Region Segmentation

摘要: 对于暗通道先验不适合天空区域，导致透射率偏小使复原的无雾图像色彩变暗问题。提出对天空区域精准割据，按不同的区域分别估计大气光强度去雾处理。改进了阈值分割方法使区分天空域与非天空域更加准确。将分割后产生的白边用融合方法处理，减少了分界处白边效应，使得图片去雾后更加自然。试验结果表明，分割速度较快，能够达到良好的去雾效果且对于天空区域没有明显的色块，去雾后图像更加自然清晰。

Abstract: For the dark channel, a priori is not suitable for the sky area, resulting in a small transmittance and darkening the color of the restored fog-free image. Based on the segmentation of the sky re-gion, it is proposed to separately estimate the atmospheric intensity defogging process according to different regions. Improved threshold segmentation method makes it more accurate to distinguish sky domain from non-sky domain. The white edge generated after segmentation is processed by the fusion method, which reduces the white edge effect at the boundary and makes the picture more natural after defogging. The experimental results show that the segmentation speed is fast, can achieve a good defogging effect and has no obvious color patches for the sky area, and the image is more natural and clear after defogging.