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雾天降质图像的快速复原

吴笑天 鲁剑锋 贺柏根 吴川 朱明

吴笑天, 鲁剑锋, 贺柏根, 吴川, 朱明. 雾天降质图像的快速复原[J]. 中国光学, 2013, 6(6): 892-899. doi: 10.3788/CO.20130606.892
引用本文: 吴笑天, 鲁剑锋, 贺柏根, 吴川, 朱明. 雾天降质图像的快速复原[J]. 中国光学, 2013, 6(6): 892-899. doi: 10.3788/CO.20130606.892
WU Xiao-tian, LU Jian-feng, HE Bai-gen, WU Chuan, ZHU Ming. Fast restoration of haze-degraded image[J]. Chinese Optics, 2013, 6(6): 892-899. doi: 10.3788/CO.20130606.892
Citation: WU Xiao-tian, LU Jian-feng, HE Bai-gen, WU Chuan, ZHU Ming. Fast restoration of haze-degraded image[J]. Chinese Optics, 2013, 6(6): 892-899. doi: 10.3788/CO.20130606.892

雾天降质图像的快速复原

doi: 10.3788/CO.20130606.892
基金项目: 

中国科学院航空光学成像与测量重点实验室开放基金资助项目(No.Y2HC1SR125)

详细信息
    作者简介:

    吴笑天(1986-),男,吉林长春人,研究实习员,2009年于吉林大学获得学士学位,2012年于厦门大学获得硕士学位,主要从事嵌入式系统设计、计算机视觉、机器学习等方面的研究。E-mail:wuzeping1893@163.com

    通讯作者:

    吴笑天

  • 中图分类号: TP391.4

Fast restoration of haze-degraded image

  • 摘要: 针对在雨雾霾天气条件下,大气介质的散射和吸收作用导致光电成像系统接收的图像对比度降低,细节模糊不清及颜色偏移,提出通过快速图像复原来解决此类图像退化问题。基于大气成像光学模型,在暗通道先验的理论基础上,提出了一种基于形态学滤波器的快速估算暗通道图像的方法,并采用参数自适应调整方法来抑制暗通道先验不满足时的大片天空/白墙区域的颜色失真现象。实验结果表明,该算法能够有效快速复原雨雾天气条件下的降质图像,对于600400大小的图像,其Matlab复原仿真时间仅为0.4 s,复原后的图像主观视觉质量明显提升,其大片天空/白墙区域的颜色失真得到有效抑制。
  • [1] 宋建中. 图像处理智能化的发展趋势[J]. 中国光学,2011,4(5):431-441. SONG J ZH. Development trend of image processing intelligence[J]. Chine Optics,2011,4(5):431-441.(in Chinese) [2] HE K M,SUN J,TANG X O. Single image haze removal using dark channel prior[J]. IEEE,2011,33(12):2341-2353. [3] HE K M,SUN J,TANG X O. Single image haze removal using dark channel prior[C]. Proceeding of IEEE Conference on Computer Vision and Pattern Recognition Miami,USA,20-25 June,2009:1956-1963. [4] 赵金宇,吴元昊,贾建禄,等. 基于实时波前信息的图像复原[J]. 光学 精密工程,2012,20(6):1350-1356. ZHAO J Y,WU Y H,JIA J L,et al.. Image restoration based on real time wave-front information[J]. Opt. Precision Eng.,2012,20(6):1350-1356.(in Chinese) [5] 王建立,汪宗洋,王斌,等. 相位差异散斑法图像复原技术[J]. 光学 精密工程,2011,19(5):1165-1170. WANG J L,WANG Z Y,WANG B,et al.. Image restoration by phase-diverse speckle[J]. Opt. Precision Eng.,2011,19(5):1165-1170.(in Chinese) [6] 李庆波,许志高,陈守谦,等. 探测器噪声对波前编码成像系统图像复原过程影响的理论研究[J]. 光学与光电技术,2011,9(6):14-20. LI Q B,XU ZH G,CHEN SH Q,et al.. Detector noise in the wavefront coding imaging system recovery process[J]. Opt. Optoelectronic Technol.,2011,9(6):14-20.(in Chinese) [7] 张威,杨克成,范泛,等. 基于模糊度量的激光水下图像复原的盲去卷积方法[J]. 光学与光电技术,2011,9(2):27-32. ZHANG W,YANG K CH,FAN F,et al.. Blind deconvolution approach based on blur metric method for laser underwater image restoration[J]. Opt. Optoelectronic Technol.,2011,9(2):27-32.(in Chinese) [8] 郝志成,高文. 多模跟踪技术在轮式侦察车图像处理器的应用[J]. 中国光学,2011,4(5):480-488. HAO ZH CH,GAO W. Application of muti-pattarn tracking technique in image processor of wheel type scout car[J]. Chinese Optics,2011,4(5):480-488.(in Chinese) [9] 韩广良. 高频信息矢量匹配实现异源图像配准[J]. 中国光学,2011,4(5):468-474. HAN G L. Alignment between different source images by high frequency vector matching[J]. Chinese Optics,2011,4(5):468-474.(in Chinese) [10] SCHECHNER Y Y,NARASIMHAN S G,NAYAR S K. Instant dehazing of images using polarization[J]. IEEE Conference on Computer Vision and Pattern Recognition,2001:1-325. [11] SHWARTZ S,NAMER E,SCHECHNER Y Y. Blind haze separation[J]. IEEE Conference on Computer Vision and Pattern Recognition,2006,2:1984-1991. [12] NARASIMHAN S G,NAYAR S K. Contrast restoration of weather degraded images[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,25:713-724. [13] TAN R. Visibility in bad weather from a single image[J]. IEEE Conference on Computer Vision and Pattern Recognition,2008. [14] FATTAL R. Single image dehazing[J]. SIGGRAPH,2008,27(3):1-9. [15] HE K M,SUN J,TANG X O. Guided image filtering[J]. Proc. 11th Eur.Conf. Comput. Vis. Part I,2010,6311:1-14. [16] HE K M,SUN J,TANG X O. Guided image filtering[J]. IEEE,2012,35(6):1397-1409 [17] PORIKLI F. Constant time O(1) bilateral filtering[J]. IEEE,2008:1-8. [18] LEVIN A,LISCHINSKI D,WEISS Y. A closed form solution to natural image matting[J]. IEEE Conference on Computer Vision and Pattern Recognition,2006,1:61-68. [19] TAREL J P,HAUTI`ERE N. Fast visibility restoration from a single color or gray level image[J]. IEEE,2009,2201-2208. [20] WU X T,DING X H,XIAO Q. A modified haze removal algorithm using dark channel prior[J]. Advanced Materials Research,2012,1397:457-458. [21] 吴笑天,丁兴号,吴奎. 基于暗通道理论的雾天图像复原的快速算法[J]. 长春理工大学学报,2012,35(1):100-104. WU X T,DING X H,WU K. A fast haze removal algorithm using dark channel prior[J]. J. Changchun University of Science and Technology(Natural Science Edition),2012,35(1):100-104.(in Chinese). [22] 嵇晓强,戴明,尹传历,等. 航拍降质图像的去雾处理[J]. 光学 精密工程,2011,19(7):1659-1668. JI X Q,DAI M,YIN CH L,et al.. Haze removal for aerial degraded images[J]. Opt. Precision Eng.,2011,19(7):1659-1668.(in Chinese)
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出版历程
  • 收稿日期:  2013-09-11
  • 修回日期:  2013-11-13
  • 刊出日期:  2013-12-10

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