摘要： 传统暗原色先验算法处理单幅图像时间较长、复杂度较高,且图像质量有待提高。针对上述问题,提出一种改进的暗原色清晰化算法。应用Canny边缘算子定位大气光向量A值区间,并结合二分图算法确定A值,利用中值Rank变换型滤波处理透射率,较大程度地去除噪声并保持完整的边缘细节,采用膨胀和腐蚀方法进一步优化透射图。测试结果表明,与传统暗原色算法和Retinex算法等相比,改进算法的图像处理效率较高,生成图像的前景色彩鲜明,并保留了少量的雾气,使图像更加真实。
关键词:
Canny边缘检测,
二分图,
膨胀腐蚀算法,
透射率,
独立成分分析
Abstract: Traditional dark channel prior algorithm needs a long time to deal with a single image,and the quality of the processed image can be further optimized.Aiming at this problem,this paper proposed an improved algorithm.It adopts Canny edge operator to locate the value interval of atmosphere vector A and determines A’s value precisely by the bipartite graph algorithm.Then it uses the median filtering based on Rank transform to process transmissivity,which greatly removes noise and maintains edge details.The transmission image is further optimized by dilation and erosion.Experimental results show that compared with the traditional dark channel method,Retinex algorithm,and other algorithms,the proposed method has higher processing efficiency,and the foreground color of the generated image is bright.A small amount of haze is kept,which makes the image more real.
Key words:
Canny edge detection,
bipartite graph,
dilation and erosion algorithm,
transmissivity,
Independent Component Analysis(ICA)
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