Rain Removal from Still Images Using Image Smoothing Filter and Morphological Filter
Removal of rain from still images is a complex and a challenging task. The rain drops affects only on a very small region of an image, and hence, leading to a confusion to determine which region should be considered and which should not. In this paper, a new technique has been implemented which effectively uses the gradient minimization approach to remove the rain pixels. The minimization technique can globally control how many non-zero gradients are resulted in the image. The method is independent of local features, but instead locates important edges globally. These salient edges are preserved and low amplitude and insignificant details are diminished. The rain pixels are removed in this manner. Finally the rain removed images are enhanced in intensity using histogram adjustment technique to get better contrast images. Experimental results show that the proposed algorithm is highly efficient as it removes rain effectively even under heavy rain conditions, while preserving the details of the image.
Xu, Li, et al. "Image smoothing via L0 gradient minimization." ACM Transactions on Graphics (TOG). Vol. 30. No. 6. ACM, 2011.
Ming Zhou; Zhichao Zhu; Rong Deng; Shuai Fang, “Rain detection and removal of sequential images,” Control and Decision Conference (CCDC), 2011 Chinese Year: 2011. Pages: 615 - 618, DOI: 10.1109/CCDC.2011.5968255.
Abhishek Kumar Tripathi, Sudipta Mukhopadhyay, “Meteorological approach for detection and removal of rain from videos”, Computer Vision, IET, Year: 2013, Volume: 7, Issue: 1 Pages: 36 - 47, DOI: 10.1049/iet-cvi.2011.0032
Meibin Qi; Biao Geng; Jianguo Jiang; Tiao Wang, “A rain detection and removal method in video image”, ntelligent Visual Surveillance (IVS), 2011 Third Chinese Conference Year: 2011
Xu, Jing, et al. "Removing rain and snow in a single image using guided filter." Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on. Vol. 2. IEEE, 2012.
Chen, Jie, and Lap-Pui Chau. "A rain pixel recovery algorithm for videos with highly dynamic scenes." Image Processing, IEEE Transactions on 23.3 (2014): 1097-1104.
Chen, Duan-Yu, Chien-Cheng Chen, and Li-Wei Kang. "Visual depth guided color image rain streaks removal using sparse coding." Circuits and Systems for Video Technology, IEEE Transactions on 24.8 (2014): 1430-1455.
Huang, De-An, et al. "Context-aware single image rain removal." Multimedia and Expo (ICME), 2012 IEEE International Conference on. IEEE, 2012.
Fu, Yu-Hsiang, et al. "Single-frame-based rain removal via image decomposition." Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. IEEE, 2011.
K. Garg and S. K. Nayar, "Detection and removal of rain from videos," IEEE Conference on Computer Vision and Pattern Recognition, vol. 1
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