Haze Degraded Image Scene Rendition
-
摘要: 为了再现雾霾天气下可见光图像的清晰场景,有效抑制雾霾退化造成的对比度、清晰度下降,提出了单色大气散射模型新的求解方法. 首先,将单色大气散射模型类比Retinex模型,重新解释了大气传递图;依据大气传递图的先验知识和几点假设,建立目标函数的变分模型,将大气传递图的估计问题转化为二次规划问题. 通过带约束的归一化最速下降法获取最优解,并采用多分辨率技术加速计算;在HSI空间的亮度分量上反解单色大气散射模型,得到反射图像,并依据大气传递图自适应校正饱和度分量. 实验结果表明,新算法可有效去除雾霾,再现真实场景的对比度和清晰度,同现有去雾算法相比,本文算法取得了相似甚至更好的去雾效果.Abstract: In order to get a clear view of the image taken under bad weather, a novel monochrome atmospheric scattering model (MASM) is proposed, which is to restrain the decline of contrast and definition caused by haze. Firstly, the MASM is reconstructed to compare with the retinex model, and this leads to our new explanation about atmospheric transmission map. Then a variational model for atmospheric transmission map is proposed, thus the transmission map estimation problem can be formulated as a quadratic programming optimization problem. The projected normalized steepest descent method is adopted to get the optimized solution, and the multi-resolution algorithm is adopted to achieve a high computational efficiency. Finally, the reflectance image on lightness component in the HSI space in computed through solving MASM and the saturation component is adjusted according to transmission map adaptively. Experimental results yield that the proposed method could remove haze effectively and playback the realistic scene's contrast and definition, and has some advantages over some existing algorithms.
-
Key words:
- Image defog /
- scene rendition /
- quadratic programming /
- atmospheric scattering model
-
[1] Fattal R. Single image dehazing. ACM Transactions on Graphics, 2008, 27(3): 1-9 [2] Tan R T. Visibility in bad weather from a single image. In: Proceedings of 26th IEEE Computer Vision and Pattern Recognition. Anchorage, AK, USA: IEEE, 2008. 1-8 [3] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior. In: Proceedings of 27th IEEE Computer Vision and Pattern Recognition. Miami, Florida, USA: IEEE, 2009. 1956-1963 [4] Fang Shuai, Wang Yong, Cao Yang, Zhan Ji-Qing, Rao Rui-Zhong. Restoration of image degraded by haze. Acta Electronica Sinica, 2010, 38(10): 2279-2284(方帅, 王勇, 曹洋, 占吉清, 饶瑞忠. 单幅雾天图像复原. 电子学报, 2010, 38(10): 2279-2284) [5] Yu Jing, Li Da-Peng, Liao Qing-Min. Physics-based fast single image fog removal. Acta Automatica Sinica, 2011, 37(2): 143-149(禹晶, 李大鹏, 廖庆敏. 基于物理模型的快速单幅图像去雾方法. 自动化学报, 2011, 37(2): 143-149) [6] Tarel J P, Hautiere N. Fast visibility restoration from a single color or gray level image. In: Proceedings of the 12th IEEE International Conference on Computer Vision. Kyoto, Japan: IEEE, 2009. 2201-2208 [7] Kratz L, Nishino K. Factorizing scene albedo and depth from a single foggy image. In: Proceedings of the IEEE International Conference on Computer Vision. Kyoto, Japan: IEEE, 2009. 1701-1708 [8] Jobson D J, Rahman Z, Woodell G A. A multiscale retinex for bridging the gap between color images and the human observation of scenes. IEEE Transactions on Image Processing, 1997, 6(7): 965-976 [9] Kimmel R, Elad M, Shaked D, Keshet R, Sobel I. A variational framework for retinex. International Journal of Computer Vision, 2003, 52(1): 7-23 [10] Lei L, Zhou Y Q, Li J W. An investigation of retinex algorithms for image enhancement. Journal of Electron (China), 2007, 24(5): 696-700 [11] Yu Jing, Li Da-Peng, Liao Qing-Min. Color constancy based visibility enhancement of color image in low-light conditions. Acta Automatica Sinica, 2011, 37(8): 923-931(禹晶, 李大鹏, 廖庆敏. 基于颜色恒常性的低照度图像视见度增强. 自动化学报, 2011, 37(8): 923-931) [12] Rizzi A, Gatta C, Marini D. A new algorithm for unsupervised global and local color correction. Pattern Recognition Letters, 2003, 24(11): 1663-1677 [13] Rizzi A, Gatta C, Marini D. From Retinex to automatic color equalization: issues in developing a new algorithm for unsupervised color equalization. Journal of Electronic Imaging, 2004, 13(1): 75-84 [14] Narasimhan S G, Nayar S K. Contrast restoration of weather degraded images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(6): 713-724 [15] Li Quan-He, Bi Du-Yan, He Lin-Yuan. Degradation process simulation model and its use in image enhancement. Journal of Xidian University, 2011, 6(8): 185-192(李权合, 毕笃彦, 何林远. 退化过程模拟模型及其在图像增强中的应用. 西电学报, 2011, 6(8): 185-192) [16] Gao Xue-Ni, Yu Zhen-Ming, Zhang Jun, Li Tao-Shen. Multi-focus image fusion based on multi-level and iterative method. Acta Electronica Sinica, 2011, 39(3): 690-694(高雪妮, 玉振明, 张军, 李陶深. 基于多级分块迭代法的不同聚焦图像融合. 电子学报, 2011, 39(3): 690-694)
点击查看大图
计量
- 文章访问数: 1957
- HTML全文浏览量: 71
- PDF下载量: 1137
- 被引次数: 0