A Sensor Image Dehazing Algorithm Based on Feature Learning
Tóm tắt
Từ khóa
Tài liệu tham khảo
Helmers, 2003, CMOS vs. CCD sensors in speckle interferometry, Opt. Laser Technol., 35, 587, 10.1016/S0030-3992(03)00078-1
Pizer, 1987, Adaptive histogram equalization and its variations, Comput. Vis. Graph. Image Process., 39, 355, 10.1016/S0734-189X(87)80186-X
Voicu, 1997, Practical considerations on color image enhancement using homomorphic filtering, J. Electron. Imaging, 6, 108, 10.1117/12.251157
Farge, 1992, Wavelet transform and their application to turbulence, Annu. Rev. Fluid Mech., 24, 395, 10.1146/annurev.fl.24.010192.002143
Xie, B., Guo, F., and Cai, Z. (2010, January 13–14). Improved Single Image Dehazing Using Dark Channel Prior and Multi-scale Retinex. Proceedings of the International Conference on Intelligent System Design and Engineering, Changsha, China.
He, K., Sun, J., and Tang, X. (2009, January 22–24). Single image haze removal using dark channel prior. Proceedings of the CVPR 2009 Computer Vision and Pattern Recognition, Miami Beach, FL, USA.
Tan, R.T. (2008, January 23–28). Visibility in bad weather from a single image. Proceedings of the CVPR 2008 Computer Vision and Pattern Recognition, Anchorage, AK, USA.
Zhu, Q., Mai, J., and Shao, L. (2014). Single image dehazing using color attenuation prior. Chin. J. New Clin. Med.
Berman, D., Treibitz, T., and Avidan, S. (2016, January 27–30). Non-local Image Dehazing. In Proceeding of the Computer Vision and Pattern Recognition, Las Vegas, NV, USA.
Tang, K., Yang, J., and Wang, J. (2014, January 23–28). Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing. Proceedings of the Computer Vision and Pattern Recognition, Columbus, OH, USA.
Mccartney, 1977, Optics of the Atmosphere: Scattering by Molecules and Particles, Opt. Acta. Int. J. Opt., 14, 698
Silberman, N., Hoiem, D., Kohli, P., and Fergus, R. (2012). Indoor Segmentation and Support Inference from RGBD Images. European Conference on Computer Vision, Springer.
Ko, H. (2012, January 13–16). Fog-degraded image restoration using characteristics of RGB channel in single monocular image. Proceedings of the 2012 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA.
Platt, 2007, Efficient sparse coding algorithms, Proc. Nips, 19, 801
Vogl, 1988, Accelerating the convergence of the back-propagation method, Biol. Cybern., 59, 257, 10.1007/BF00332914
Cai, 2016, DehazeNet: An End-to-End System for Single Image Haze Removal, IEEE Trans. Image Process., 25, 5187, 10.1109/TIP.2016.2598681
Chen, C., Do, M.N., and Wang, J. (2016). Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization. Computer Vision—ECCV 2016, Springer International Publishing.
Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., and Yang, M.M. (2016). Single Image Dehazing via Multi-scale Convolutional Neural Networks. European Conference on Computer Vision, Springer.
Tarel, J.P., and Bigorgne, E. (2009, January 3–5). Long-range road detection for off-line scene analysis. Proceedings of the IEEE Intelligent Vehicle Symposium (IV’2009), Xian, China.
Tarel, J.P., and Hautière, N. (October, January 29). Fast visibility restoration from a single color or gray level image. Proceedings of the International Conference on Computer Vision, Kyoto, Japan.
Tan, 2003, The laws of the information entropy values of land use composition, J. Nat. Resour., 1, 017
Poor, 1997, Probability of error in MMSE multiuser detection, IEEE Trans Inf. Theory, 43, 858, 10.1109/18.568697
Wang, L.T., Hoover, N.E., Porter, E.H., and Zasio, J.J. (July, January 28). SSIM: A software levelized compiled-code simulator. Proceedings of the 24th ACM/IEEE Design Automation Conference, Miami Beach, FL, USA.