Rain Removal in the Images Using Bilateral Filter
Keywords:
Rain Removal Images, Bilateral Filter, Rain Streak, Rain Region Removal.Abstract
Rain removal in the image is the challenging task. The rain removal image is useful for the crime scene analysis to identify crime. In this study a novel method is used for rain removal in images using bilateral filter is discussed. Initially, the input rain images are given to rain histogram for the enhancement. Then the bilateral filtering is applied to remove the rain water areas. Then the streak of the rain image is removed. The rain region and non rain regions are separated. Finally the rain removed is obtained. The experimental result shows the performance of the proposed system using bilateral filter.
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References
[1] K. Park, M. Kim, H. Lim, S. Yu, and J. Paik, “Fast Rain Removal Using Rain Map and Temporal Filtering for Consumer Imaging Applications”, International Conference on Consumer Electronics-Berlin, 2018, pp. 1-2.
[2] K. Park, S. Yu, and J. Jeong, “A contrast restoration method for effective single image rain removal algorithm”, International Workshop on Advanced Image Technology, 2018, pp. 1-4.
[3] S.H. Sun, S.P. Fan, and Y.C.F Wang, “Exploiting image structural similarity for single image rain removal”, International Conference on Image Processing, 2014, pp. 4482-4486.
[4] D.A. Huang, L.W. Kang, M.C. Yang, C.W. Lin, and Y.C.F. Wang, “Context-aware single image rain removal”, International Conference on Multimedia and Expo, 2012, pp. 164-169.
[5] H. Tang, L. Zhu, D. Zhang, and X. Wang, “Single image rain removal model using pure rain dictionary learning”, IET Image Processing, vol. 13, no. 10, 2019, pp. 1797-1804.
[6] Y. Wang, and T.Z. Huang, “A Tensor-Based Low-Rank Model for Single-Image Rain Streaks Removal”, IEEE Access, vol. 7, 2019, pp. 83437-83448.
[7] Y. Wang, S. Liu, C. Chen, and B. Zeng, “A hierarchical approach for rain or snow removing in a single color image”, IEEE Transactions on Image Processing, vol. 26, no. 8, 2007, pp. 3936-3950.
[8] C.H. Son, and X.P. Zhang, “Rain removal via shrinkage of sparse codes and learned rain dictionary”, International Conference on Multimedia & Expo Workshops, 2016, pp. 1-6.
[9] Xie, J., Heng, P. A., & Shah, M. (2008). Image diffusion using saliency bilateral filter. IEEE Transactions on Information Technology in Biomedicine, 12(6), 768-771.
[10] Yu, H., Zhao, L., & Wang, H. (2011). An efficient edge-based bilateral filter for restoring real noisy image. IEEE Transactions on Consumer Electronics, 57(2), 682-686.
[2] K. Park, S. Yu, and J. Jeong, “A contrast restoration method for effective single image rain removal algorithm”, International Workshop on Advanced Image Technology, 2018, pp. 1-4.
[3] S.H. Sun, S.P. Fan, and Y.C.F Wang, “Exploiting image structural similarity for single image rain removal”, International Conference on Image Processing, 2014, pp. 4482-4486.
[4] D.A. Huang, L.W. Kang, M.C. Yang, C.W. Lin, and Y.C.F. Wang, “Context-aware single image rain removal”, International Conference on Multimedia and Expo, 2012, pp. 164-169.
[5] H. Tang, L. Zhu, D. Zhang, and X. Wang, “Single image rain removal model using pure rain dictionary learning”, IET Image Processing, vol. 13, no. 10, 2019, pp. 1797-1804.
[6] Y. Wang, and T.Z. Huang, “A Tensor-Based Low-Rank Model for Single-Image Rain Streaks Removal”, IEEE Access, vol. 7, 2019, pp. 83437-83448.
[7] Y. Wang, S. Liu, C. Chen, and B. Zeng, “A hierarchical approach for rain or snow removing in a single color image”, IEEE Transactions on Image Processing, vol. 26, no. 8, 2007, pp. 3936-3950.
[8] C.H. Son, and X.P. Zhang, “Rain removal via shrinkage of sparse codes and learned rain dictionary”, International Conference on Multimedia & Expo Workshops, 2016, pp. 1-6.
[9] Xie, J., Heng, P. A., & Shah, M. (2008). Image diffusion using saliency bilateral filter. IEEE Transactions on Information Technology in Biomedicine, 12(6), 768-771.
[10] Yu, H., Zhao, L., & Wang, H. (2011). An efficient edge-based bilateral filter for restoring real noisy image. IEEE Transactions on Consumer Electronics, 57(2), 682-686.
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Published
2019-03-26
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