一种低能见度图像的盲分离复原算法

A Blind Separation Restoration Algorithm of Low Visibility Image

低能见度情况下(雾、霾),图像不清晰的主要原因是大气变化的对比度下降,这是由于大气悬浮颗粒散射造成的.针对退化图像中针对针对散射光的分离,在假定图像由独立散射光谱组成的基础上,通过对散射光偏振分析,提出一种盲参数估计分离散射光算法,来实现低能见度图像的复原.实验表明,该算法可以取得较好的复原效果.

In low visibility conditions（fog and haze）,the main reason for the image is not clear is that the contrast of the atmosphere change fall,which is resulted from the scattering of the atmospheric suspended particles.Aiming at the separation of the scattering light in the degradated image,on the basis of the assuming image is composed of the independent scattering spectrum,by analysis of the scattering light polarization,putting forward a algorithm of blind parameter estimating separated scattering light to recover the low visibility image.Experiments have showed that the use of the algorithm can obtain a better recovery results.