An Improved Guidance Image Based Method to Remove Rain and Snow in a Single Image

Rain and snow bring poor visibility at outdoor vision systems. The common used image processing methods may be not suitable for a degraded image. In this paper, a guidance image method is proposed to remove rain and snow in a single image. To removal rain and snow only using one image, a guidance image is derived from the imaging model of a raindrop or a snowflake when it is passing through an element on the CCD of the camera. Since only using this guidance image may lose some detailed information, in this paper, a refined guidance image is proposed. This refined guidance image has similar contour with the un-degraded image and also maintains the detailed information which may be lost at the guidance image. Then a removal procedure is given by the use of the refined guidance image. Some comparison results are made between different methods using the guidance image and the refined guidance image. The refined guidance image can be used to get a better removal result. Our results show that this proposed method has both good performance in rain removal and snow removal.

[1]  Takeo Kanade,et al.  Spatio-Temporal Frequency Analysis for Removing Rain and Snow from Videos , 2007 .

[2]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[3]  Yu-Hsiang Fu,et al.  Single-frame-based rain removal via image decomposition , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[4]  Kazuhiko Sumi,et al.  Background subtraction based on cooccurrence of image variations , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[5]  P. Wayne Power,et al.  Understanding Background Mixture Models for Foreground Segmentation , 2002 .

[6]  Shree K. Nayar,et al.  Detection and removal of rain from videos , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[7]  S. Nayar,et al.  Photorealistic rendering of rain streaks , 2006, SIGGRAPH 2006.

[8]  Takeo Kanade,et al.  Analysis of Rain and Snow in Frequency Space , 2008, International Journal of Computer Vision.

[9]  Shree K. Nayar,et al.  Vision and Rain , 2006 .

[10]  Jian Sun,et al.  Guided Image Filtering , 2010, ECCV.

[11]  Hao Li,et al.  Rain Removal in Video by Combining Temporal and Chromatic Properties , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[12]  Shree K. Nayar,et al.  When does a camera see rain? , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.