The week's pick
Reseach Article
Enhanced Mist Elimination using Dark Channel Prior and Gaussian Domain based Adaptive Gamma Correction
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 16 |
| Year of Publication: 2014 |
| Authors: Gagandeep Singh |
10.5120/18608-9911
|
Gagandeep Singh . Enhanced Mist Elimination using Dark Channel Prior and Gaussian Domain based Adaptive Gamma Correction. International Journal of Computer Applications. 106, 16 ( November 2014), 44-48. DOI=10.5120/18608-9911
Abstract
Removal of fog from a digital image of a climatic corrupted scene has assessed to be a complicated task since the fog is dependent on the unidentified intensity data. Mist removal techniques have in recent times shown a great role in a variety of vision applications. It has been shown in existing research that the most of the existing techniques have many problems. To conquer the limitations of the prior work; a novel techniques has been proposed in this paper. The proposed method has enhanced dark channel prior by using the Gaussian domain based adaptive gamma correction. The proposed algorithm is composed and actualized in MATLAB using image processing toolbox. The comparison among dark channel prior and the proposed algorithm is also drawn based upon certain performance parameters. The comparison analysis has verified that the proposed algorithm has shown truly effective results.
References
- Wei, Sun, and Han Long,"A New Fast Single-Image Defog Algorithm", Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on. IEEE, 2013
- Tripathi A. K and S. Mukhopadhyay,"Single image fog removal using bilateral filter", Signal Processing, Computing and Control (ISPCC), 2012 International Conference on. IEEE, 2012
- Chen and Mengyang, "Single image defogging", Network Infrastructure and Digital Content, (NIDC), 2009 International Conference on. IEEE, 2009.
- http://www. ecdept. iitkgp. ernet. in/web/faculty/smukho/docs/fog_removal/fog_diff. html
- Xu Haoran, Guo Jianming, Liu Xing and Ye Lingli, "Fast image dehazing using improved dark channel prior",Information Science and Technology (ICIST), 2012 International Conference on. IEEE, 2012.
- Xu, Zhiyuan, Xiaoming Liu, and Xiaonan Chen,"Fog removal from video sequences using contrast limited adaptive histogram equalization", Computational Intelligence and Software Engineering, 2009 International Conference on. IEEE, 2009
- Desai, Nachiket, Chatterjee Aritra, Mishra Shaunak and Choudary Sunam, "A Fuzzy Logic Based Approach to De-Weather Fog-Degraded Images", Computer Figureics, Imaging and Visualization, 2009 Sixth International Conference on. IEEE, 2009.
- Yu, Jing, Chuangbai Xiao, and Dapeng Li, "Physics-based fast single image fog removal", Signal Processing (ICSP), 2010 IEEE 10th International Conference on. IEEE, 2010.
- Guo, Fan, Cai Zixing, Xie Bin and Tang Zin, "Automatic Image Mist Removal Based on Luminance Component", Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on. IEEE, 2010.
- Chu, Chao-Tsung, and Ming-Sui Lee, "A content-adaptive method for single image dehazing", Proceedings of the Advances in multimedia information processing and 11th Pacific Rim conference on Multimedia, Springer-Verlag, 2010.
- Wolfe, Christopher, T. C. Graham and Joseph A. Pape, "Seeing through the fog: an algorithm for fast and accurate touch detection in optical tabletop surfaces", ACM International Conference on Interactive Tabletops and Surfaces, 2010.
- Nishino, Ko, Louis Kratz, and Stephen Lombardi, "Bayesian defogging", International journal of computer vision , pp 263-278, 2012.
- Xu, Zhiyuan, and Xiaoming Liu, "Bilinear interpolation dynamic histogram equalization for fog-degraded image enhancement", J Inf Comput Sci 7. 8 (2010) 1727-1732.
- Yu, Jing, and Qingmin Liao, "Fast single image fog removal using edge-preserving smoothing", Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. IEEE, 2011.
- He, Kaiming, Jian Sun, and Xiaoou Tang, "Single image Mist removal using dark channel prior", Pattern Analysis and Machine Intelligence, IEEE Transactions on 33. 12, pp. 2341-235, (2011).
- Halmaoui and Houssam, "Contrast restoration of road images taken in foggy weather", Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on. IEEE, 2011.
- Tripathi A. K and S. Mukhopadhyay,"Single image fog removal using bilateral filter", Signal Processing, Computing and Control (ISPCC), 2012 International Conference on. IEEE, 2012
- Shuai, et al, "Image Mist removal of wiener filtering based on dark channel prior", Computational Intelligence and Security (CIS), 2012 Eighth International Conference on. IEEE, 2012.
- Xu and Haoran, "Fast image dehazing using improved dark channel prior" Information Science and Technology (ICIST), 2012 International Conference on. IEEE, 2012
- Cheng, F-C. , C-H. Lin, and J-L. Lin,"Constant time O (1) image fog removal using lowest level channel", Electronics letters 48. 22 (2012): 1404-1406.
- Tan, Robby T. , Niklas Pettersson, and Lars Petersson, "Visibility enhancement for roads with foggy or hazy scenes", pp. 19-24,Proc. IEEE (2007), 2007.
- Zhang, Hongying, Qiaolin Liu, Yadong Wu and Fan Yang,"Single Image Dehazing Combining Physics Model based and Non-physics Model based Methods", Journal of Computational Information Systems 9. 4, pp. 1623-1631, (2013).
- Wang, Gangyi, Guanghui Ren, Lihui Jiang, and Taifan Quan, "Single Image Dehazing Algorithm Based on Sky Region Segmentation", Information Technology Journal 12. 6, 2013.
- Al-Zubaidy, Yaseen, and Rosalina Abdul Salam,"Removal of Atmospheric Particles in Poor Visibility Outdoor Images", Telkomnika Indonesian Journal of Electrical Engineering 11. 8, pp. 4244-4250, 2013.
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