基于暗原色先验的图像去尘算法
首发时间:2015-04-17
摘要:在煤矿井下工作环境的影响下,采集到的图像清晰度低,成像效果不佳。针对图像的严重退化问题,采用改进的基于暗原色先验的去尘算法。该算法利用LMS人眼视觉模型把RGB三通道转换为新的透射率三通道色彩空间,各通道之间的相关性比RGB更低。实验结果表明该色彩空间内应用基于暗原色先验的去尘算法可以更为准确的复原出图像,得到满意的图像去尘效果。
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Image Dust-removal Algorithm Based on Dark Channel Prior
Abstract:Under the influence of the coal mine working environment,collected image clarity is low and it effect is not good. Aiming at the problem of image degradation, in this paper uses the improved dust removing algorithm based on dark channel prior improvement. The algorithm uses LMS human visual model convert RGB three-channel to new transmittance three-channel color space,and the correlation between each channel are lower than those of RGB. Experimental results show that this color space can more accurate reconstruction image based on dark channel prior, and the result of image to dust is satisfactory.
Keywords: dark primary color prior human visual transmittance dust removing of image
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