雾、霾等恶劣天气会导致室外图像能见度和对比度降低.虽然可以通过增强有雾图像的对比度得到清晰的图像,但对比度的过度增强可能会截断像素值,造成信息丢失.因此,本文基于信息丢失问题提出了一种快速、优化的去雾算法.通过最小化信息丢失,使输出图像不仅能保留较多的细节,且具有较高的对比度.此外,通过将RGB颜色空间转换为YUV颜色空间,仅对亮度分量Y进行处理,提高了算法的运算速度.算法的对比实验结果表明,本文的算法不仅去雾效果明显,而且运算速度快,完全能满足视频去雾的实时性要求.
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