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单幅图像自动去雾新算法

郭璠1, 蔡自兴1, 谢斌1, 唐琎1(中南大学信息科学与工程学院,长沙 410083)

摘 要
针对雾天拍摄图像的退化现象,提出一种针对单幅图像的自动去雾新算法。该算法先将有雾图像从RGB转换到YCbCr颜色空间后,再在亮度分量上进行多尺度Retinex处理,所得的亮度图在图像清晰度评价指标的调控下经过反色变换和中值滤波即可求得传播图,并进一步得到清晰化后的复原图像。实验结果表明,该算法能有效地改善雾天图像的退化现象,提高图像的清晰度。
关键词
New algorithm of automatic haze removal for single image

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Abstract
Aim at the degradation of single image under haze conditions, this paper proposes a new algorithm of automatic haze removal. It first transforms the haze image from RGB to YCbCr color space, and uses multi-scale Retinex algorithm on the luminance component, then conduct a subtraction operation with the control of image quality assessment. After median filter on the image, the transmission map is obtained and the haze removal image can be obtained as well. Experiments show that the algorithm can effectively improve the degradation of image and enhance its quality.
Keywords

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