Current Issue Cover

孙小明1, 孙俊喜2, 赵立荣1,3, 曹永刚1,3(1.长春理工大学电子信息工程学院, 长春 130022;2.东北师范大学计算机科学与信息技术学院, 长春 130117;3.中国科学院长春光学精密机械与物理研究所, 长春 130000)

摘 要
目的 为解决传统基于暗原色先验的单幅图像去雾算法实现效率低以及恢复雾化图像在天空、白云等明亮区域颜色失真的不足,提出一种改进算法。方法 通过分块思想,完成透射率的空间自适应估计;通过判断大气光强度和暗通道差值绝对值大小来判断雾图中是否含有明亮区域。结果 该算法不仅降低了传统算法的时间复杂度,而且弥补了传统算法在明亮区域透射率估计的不足。结论 实验结果表明该改进算法可行、有效。
Improved algorithm for single image haze removing using dark channel prior

Sun Xiaoming1, Sun Junxi2, Zhao Lirong1,3, Cao Yonggang1,3(1.School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China;2.School of Computer Science and Information Technology, Northeast Normal University, Changchun 130117, China;3.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130000, China)

Objective An improved algorithm is proposed for single image haze removal using dark channel prior to avoid the low efficiency of the classical algorithm and color distortion of haze removing in bright area. Method The proposed algorithm is reflected in the following two aspects. One is the spatial adaptability of the atmospheric transmittance estimation by the introduction of a blocking idea. The other is that the bright areas can be contained by the absolute value of the difference of atmospheric light and dark channel. Result Compared with the classic algorithm,the time complexity of the algorithm is decreased and the weakness of transmission in the bright area is remedied. Conclusion Experimental results show that the improved algorithm is efficient and feasible.