Review on raindrop detection and removal in weather degraded images

Bad weather conditions lead the robustness of most surveillance and driver assistance system. Therefore this paper attempts to review the type of bad weather in a perspective of computer vision and image processing and some recent effort on raindrop detection and removal techniques which has been successfully designed and developed to enhance the image degraded by the bad weather.

[1]  Thomas S. Huang,et al.  Image enhancement: A review , 1969 .

[2]  Ko Nishino,et al.  Factorizing Scene Albedo and Depth from a Single Foggy Image , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[3]  Xiao-Ming Liu,et al.  An improved fog-degraded image enhancement algorithm , 2007, 2007 International Conference on Wavelet Analysis and Pattern Recognition.

[4]  Hiroshi Murase,et al.  DETECTION OF RAINDROPS ON A WINDSHIELD FROM AN IN-VEHICLE VIDEO CAMERA , 2007 .

[5]  T S Huang,et al.  Image processing: some challenging problems. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Fabio Gagliardi Cozman,et al.  Depth from scattering , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[7]  Alireza Fasih,et al.  A Novel Support Vector Machine Classification Approach Involving CNN for Raindrop Detection , 2010 .

[8]  Karim Faez,et al.  A Novel Approach for Contrast Enhancement in Biomedical Images Based on Histogram Equalization , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[9]  Achala Chathuranga Aponso,et al.  Review on state of art image enhancement and restoration methods for a vision based driver assistance system with De-weathering , 2011, 2011 International Conference of Soft Computing and Pattern Recognition (SoCPaR).

[10]  Nur'Aini Abdul Rashid,et al.  Live-cell image enhancement using centre weighted median filter , 2007 .

[11]  Dapeng Li,et al.  Physics-based fast single image fog removal , 2010, IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS.

[12]  David C. C. Wang,et al.  Digital image enhancement: A survey , 1983, Comput. Vis. Graph. Image Process..

[13]  Ruizhong Rao,et al.  Improved single image dehazing using segmentation , 2010, 2010 IEEE International Conference on Image Processing.

[14]  M. Beheshti,et al.  Blurry when wet: animating raindrop behavior , 2005, IEEE Potentials.

[15]  J. Marshall,et al.  THE DISTRIBUTION OF RAINDROPS WITH SIZE , 1948 .

[16]  Shree K. Nayar,et al.  Vision and the Atmosphere , 2002, International Journal of Computer Vision.

[17]  Fawzi Nashashibi,et al.  Detection of unfocused raindrops on a windscreen using low level image processing , 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

[18]  Hiroshi Murase,et al.  Raindrop Detection from In-Vehicle Video Camera Images for Rainfall Judgment , 2006, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06).

[19]  Yu-Hsiang Fu,et al.  Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition , 2012, IEEE Transactions on Image Processing.

[20]  Martin Roser,et al.  Raindrop detection on car windshields using geometric-photometric environment construction and intensity-based correlation , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[21]  Yu Jing.  Physics-based Fast Single Image Fog Removal , 2011 .

[22]  Shree K. Nayar,et al.  Contrast Restoration of Weather Degraded Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Masanori Sugimoto,et al.  A novel technique for raindrop detection on a car windshield using geometric-photometric model , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[24]  Shree K. Nayar,et al.  Vision and Rain , 2007, International Journal of Computer Vision.

[25]  Robby T. Tan,et al.  Visibility in bad weather from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Mingyi He,et al.  A new method for foggy image enhancment , 2009, 2009 4th IEEE Conference on Industrial Electronics and Applications.

[27]  Atsushi Yamashita,et al.  Removal of adherent noises from image sequences by spatio-temporal image processing , 2008, 2008 IEEE International Conference on Robotics and Automation.

[28]  L. M. Bergasa,et al.  Fog detection system based on computer vision techniques , 2009, 2009 12th International IEEE Conference on Intelligent Transportation Systems.

[29]  Peyman Milanfar,et al.  Removal of haze and noise from a single image , 2012, Electronic Imaging.

[30]  K. Beard,et al.  A New Model for the Equilibrium Shape of Raindrops , 1987 .

[31]  Cosmin Ancuti,et al.  A Fast Semi-inverse Approach to Detect and Remove the Haze from a Single Image , 2010, ACCV.

[32]  Atsushi Yamashita,et al.  Removal of adherent noises from images of dynamic scenes by using a pan-tilt camera , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[33]  Codruta O. Ancuti,et al.  Layer-based single image dehazing by per-pixel haze detection , 2010, SIGGRAPH ASIA.

[34]  Jian Sun,et al.  Single image haze removal using dark channel prior , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[35]  Andreas Geiger,et al.  Video-based raindrop detection for improved image registration , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

[36]  Ichiro IDE,et al.  Rain and Fog Recognition System Using Multiple in-Vehicle Sensors* , 2010 .

[37]  Andreas Geiger,et al.  Realistic Modeling of Water Droplets for Monocular Adherent Raindrop Recognition Using Bézier Curves , 2010, ACCV Workshops.

[38]  Qi Wu,et al.  Raindrop detection and removal using salient visual features , 2012, 2012 19th IEEE International Conference on Image Processing.

[39]  Xiaoou Tang,et al.  Single Image Haze Removal Using Dark Channel Prior , 2011 .

[40]  Fumihiko Sakaue,et al.  Raindrop Complement based on Epipolar Geometry and Spatiotemporal Patches , 2011, VISAPP.

[41]  Sarp Ertürk,et al.  Visual enhancement of underwater images using Empirical Mode Decomposition , 2012, Expert Syst. Appl..