Computer Science ›› 2015, Vol. 42 ›› Issue (11): 112-117.doi: 10.11896/j.issn.1002-137X.2015.11.024

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Effective Algorithm to Inhibit Halo Effect Based on Sigmoid Function

CHEN Li, GUO Yu-kun and LI Jin-ping   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Dark channel prior theory is usually employed to reduce the effect of fog,however,a bad halo effect often exi-sts.After extensive analysis of halo effect,we proposed an effective algorithm to inhibit the halo effect based on Sigmoid function.Firstly,after many observations of images with halo effect,we found the characteristic of halo effect’s location and sturcture,so we constructed a Sigmoid model with directivity.Secondly,we performed the edge detection of transmission image obtained by dark channel prior,and then obtained the coordinates and edge directions of pixels located at the place of sudden change of depth of field.Thirdly,we used the constructed model to determine the precise locations of those pixels,filled halo region with pixel values of non-halo region,and then obtained optimized transmission image.Finally,we could obtain the clear image with weak halo effect by using the optimized transmission image and introducing a kind of tolerance mechanism.Our algorithm’s characteristic consists in only processing the halo region using the constructed model rather than processing the whole image region,so our method avoids such problem as color distortion in no halo region.The experimental results demonstrate that our method is simple and easy,with faster computational speed and better restoration effect for fog image.

Key words: Haze removal,Dark channel prior,Halo effect,Sigmoid function,Tolerance mechanism

[1] 禹晶,徐东彬,廖庆敏.图像去雾技术研究进展[J].中国图象图形学报,2011,6(9):1561-1575 Yu J,Xu D B,Liao Q M.Image defogging:a survey[J].Journal of Image and Graphics,2011,6(9):1561-1575
[2] 郭璠.图像去雾方法和评价及其应用研究[D].长沙:中南大学,2012 Guo P.Research on Image Defogging,Effect Assessment and Application[D].Changsha:Central South University,2012
[3] Namer E,Schechner Y Y.Advanced visibility improvementbased on polarization filtered images[C]∥Proceedings of the Polarization Science and Remote Sensing,2005.San Diego,USA:SPIE,2005:36-45
[4] He K M,Sun J,Tang X O.Single image haze removal using dark channel prior[C]∥Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2009.Miami,USA:IEEE,2009:1956-196
[5] 钟乾龙.单幅图像去雾处理算法研究及软件实现[D].成都:西南交通大学,2012 Zhong Q L.The Research of Single Image-Defogging Processing Algorithm and Software Implement[D].Chengdu:Southwest Jiaotong University,2012
[6] Tarel J,Hauti N.Fast visibility restoration from a single color or gray level image[C]∥Proceedings of IEEE International Conference on Computer Vision(ICCV),2009.Kyoto,Japan:IEEE Computer Society,2009:2201-2208
[7] 禹晶,李大鹏,廖庆敏.基于物理模型的快速单幅图像去雾方法[J].自动化学报,2011,7(2):143-149 Yu J,Li D P,Liao Q M.Physics-based Fast Single Image Fog removal[J].Acta Automatica Sinica,2011,7(2):143-149
[8] 方帅,王勇,曹洋.单幅雾天图像复原[J].电子学报,2010,8(10):2279-2284 Fang S,Wang Y,Cao Y.Restoration of Image Degraded by Haze[J].Acta Electronica Sinica,2010,8(10):2279-2284
[9] 褚宏莉,李元祥,周则明,等.基于黑色通道的图像快速去雾优化算法[J].电子学报,2013,1(4):791-797 Chu H L,Li Y X,Zhou Z M,et al.Optimized Fast Dehazing Method Based on Dark Channel Prior[J].Acta Electronic Sinica,2013,41(4):791-797
[10] Narasimhan S G,Nayar S K.Chromatic framework for vision in bad weather[C]∥Proceedings of IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2000.Hilton Head Island,SC,USA:IEEE Computer Society,2000:1598-1605
[11] Fattal R.Single image dehazing[J].ACM Transaction onGraphics,2008,7(3):1-9
[12] 蒋建国,侯天峰,齐美彬.改进的基于暗原色先验的图像去雾算法[J].电路与系统学报,2011,6(2):7-12 Jiang J G,Hou T F,Qi M B.Improved Algorithm on Image Haze Removal Using Dark Channel Prior[J].Journal of Circuits and Systems,2011,6(2):7-12
[13] Tan R.Visibility in bad weather from a single image[C]∥Proceedings of IECVPR,2008.Anchorage,Alaska:IEEE Computer Society,2008:1-8
[14] 王一帆,尹传历,黄义明,等.基于双边滤波的图像去雾[J].中国图象图形学报,2014,9(3):386-392 Wang Y F,Yin C L,Huang Y M,et al.Image Haze Removal Using a Bilateral Filter[J].Journal of Image and Graphics,2014,9(3):386-392

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