改进的彩色图像去雾效果评价方法  

An improved assessment method for the color image defogging effect

作　　者：陈珂[1] 柯文德[1] 许波[1] 张良均 

机构地区：[1]广东石油化工学院计算机科学与技术系,广东茂名525000 [2]广州太普信息技术有限公司,广东广州510663

出　　处：《智能系统学报》2015年第5期803-809,共7页CAAI Transactions on Intelligent Systems

基　　金：国家自然科学基金资助项目(61272382);广东省科技计划资助项目(2012B0101100037);广东省高等学校科技创新项目(2013kjcx0132)

摘　　要：针对当前对图像去雾效果评价的不足,提出了一种改进的评价彩色图像去雾效果的方法。该方法同时考虑了对图像边缘的评价以及对颜色失真的评价,基于图像雾化的大气散射模型,通过将原始图像转换到相对色彩空间,提出了度量颜色失真的标准;结合对比度增强的评价方式,提出了一个统一的评价指标,从而实现很好地给出一个符合人眼视觉判断的客观评价结果。实验中基于多种去雾算法的去雾结果,对基于可见边比的评估方法、CNC评价指标和本文提出的评价指标进行了对比,结果表明本文改进的评价标准能更好地体现去雾的质量,获得与视觉判定更加接近的结论。Currently, there is no adequate evaluation method for image defogging effect. Aiming at this, an im- proved method for the color image defogging effect assessment is proposed. By this method, either the edge＇ s contrast enhancement or the color distortion is considered. Based on the atmospheric scattering model of an atomized image, the method first converts the original image to the opponent color space, thus deriving a standard for meas- uring the color distortion. Then, by combining the evaluation means for contrast enhancement, a unified assessment index for color image is generated, with objective evaluation results and good human visual perception. The defog- ging effects of many defogging methods were evaluated by the criteria proposed in this ging quality and is closer to paper. The results show that expected visual judgment. Comparison among the visible edge ratio, CNC value, and the improved assessment criteria can better reflect defog-ging quality and is closer to expected visual judgment.

关 键 词：图像去雾 去雾效果评价 大气散射模型 相对色彩空间 可见边对比度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]