摘要
针对户外薄雾条件下彩色图像对比度降低问题,提出了一种有效的图像去雾方法.先将图像亮度分量进行小波变换;然后对该分量图像的低频部分利用大气散射简化模型进行反锐化掩蔽高通滤波,亮度分量图像的高频部分采用非线性变换提升后,进而将处理过的低频、高频部分进行小波反变换重构出新的亮度图像,再利用HIS反变换出初级去雾图像;最后采用单尺度Ret-inex(SSR)算法、颜色恢复等方法改善初级去雾图像亮度,增强其颜色表现,得到最终的去雾图像.实验结果表明,本文提出的算法有效实用,对于薄雾的去除效果较好.
A method of defogging images is introduced for contrast degraded of outdoor thin fog color image.Firstly,wavelet transform decomposing image luminance;then low-frequency using the atmospheric scattering simply model to unsharp masking high-pass filtering,wavelet and HIS retransform image reconstruction after using the nonlinear transform to the high-frequency;finally using the SSR algorithm and color resuming to improve brightness and strengthen color performance.Experimental results show that this algorithm is effective and practical,and the effect is ideal.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2011年第4期59-62,共4页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金(40976062)
