• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学 ›› 2023, Vol. 45 ›› Issue (09): 1621-1628.

• 图形与图像 • 上一篇    下一篇

一种用Sigmoid函数进行加权融合的图像去雾算法

火元莲1,2,张乔森1,2,张金石1,2,范宏栋1,2   

  1. (1.西北师范大学物理与电子工程学院,甘肃 兰州 730070;2.甘肃省智能信息技术与应用工程研究中心,甘肃 兰州 730070)
  • 收稿日期:2022-03-30 修回日期:2022-08-03 接受日期:2023-09-25 出版日期:2023-09-25 发布日期:2023-09-12
  • 基金资助:
    国家自然科学基金(61561044);甘肃省高等学校产业支撑计划(2022CYZC-16) 

An image dehazing algorithm using weighted fusion with the Sigmoid function

HUO Yuan-lian1,2,ZHANG Qiao-sen1,2,ZHANG Jin-shi1,2,FAN Hong-dong1,2   

  1. (1.College of Physics and Electronic Engineering,Northwest Normal University,Lanzhou 730070;
    2.Engineering Research Center of Gansu Province for Intelligent Information Technology and Application,Lanzhou 730070,China)
  • Received:2022-03-30 Revised:2022-08-03 Accepted:2023-09-25 Online:2023-09-25 Published:2023-09-12

摘要: 为了解决图像去雾过程中在前景和天空区域过渡不平滑以及透射率融合不精确、恢复图像色彩不自然等问题,提出了一种用Sigmoid函数进行加权融合的图像去雾算法。该算法在R、G、B共3个通道上使用不同的衰减常数,并以Sigmoid作为权重函数将基于颜色衰减先验对天空区域的估计透射率和基于暗通道先验对前景区域的估计透射率进行融合,最后通过大气散射模型恢复出无雾图像。实验结果表明,该算法对包含有天空区域的雾图的去雾效果更优,复原后的图像清晰而且色彩自然,提升了图像的主观视觉效果,同时客观对比也表明了该算法的有效性和适用性。

关键词: 图像去雾, 暗通道, 颜色衰减先验, Sigmoid函数, 大气散射模型

Abstract: To address the problems of uneven transition between foreground and sky regions, inaccurate transmission rate fusion, and unnatural color restoration in image dehazing, an image dehazing algorithm using weighted fusion with the Sigmoid function is proposed. This algorithm uses different attenuation constants in the RGB three channels, and uses Sigmoid as the weight function to fuse the estimated transmission rates of the sky region based on the color attenuation prior and the estimated transmission rates of the foreground region based on the dark channel prior. Finally, the haze-free image is restored through the atmospheric scattering model. Experimental results show that the dehazing effect of this algorithm is better for hazy images containing sky regions, and the restored images are clear and natural in color, improving the subjective visual effect of the images. Objective comparisons also confirm the effectiveness and applicability of this algorithm 

Key words: image dehazing;dark channel, color attenuation prior, Sigmoid function, atmospheric scattering model