Objective measurement for image defogging algorithms
Objective measurement for image defogging algorithms
复制标题
图像去雾算法的客观测量
DOI：
10.1007/s11771-014-1938-z
复制
发表时间：
2014-01-01
影响因子：
4.4
通讯作者：
Cai Zi-xing
中科院分区：
文献类型：
--
作者：
Guo Fan;Tang Jin;Cai Zi-xing
针对去雾算法性能评估方法缺乏且现有评估方法存在一定局限性，提出了三种新的去雾算法评估方法。一是利用图像退化模型模拟的合成有雾图像，以全参考的方式评估去雾算法。在该方法中，计算有雾和无雾的合成图像之间的绝对差异。另外两种是计算灰度图像的雾密度或从人类视觉感知构建彩色图像的评估体系以无参考方式评估去雾算法。对于这些方法，定义了评估函数以根据函数值评估算法性能。通过与去雾算法的比较，实验结果证明了所提方法的有效性和可靠性。
Since there is lack of methodology to assess the performance of defogging algorithm and the existing assessment methods have some limitations, three new methods for assessing the defogging algorithm were proposed. One was using synthetic foggy image simulated by image degradation model to assess the defogging algorithm in full-reference way. In this method, the absolute difference was computed between the synthetic image with and without fog. The other two were computing the fog density of gray level image or constructing assessment system of color image from human visual perception to assess the defogging algorithm in no-reference way. For these methods, an assessment function was defined to evaluate algorithm performance from the function value. Using the defogging algorithm comparison, the experimental results demonstrate the effectiveness and reliability of the proposed methods.