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图像去雾算法清晰化效果客观评价方法

郭璠 蔡自兴

郭璠, 蔡自兴. 图像去雾算法清晰化效果客观评价方法. 自动化学报, 2012, 38(9): 1410-1419. doi: 10.3724/SP.J.1004.2012.01410
引用本文: 郭璠, 蔡自兴. 图像去雾算法清晰化效果客观评价方法. 自动化学报, 2012, 38(9): 1410-1419. doi: 10.3724/SP.J.1004.2012.01410
GUO Fan, CAI Zi-Xing. Objective Assessment Method for the Clearness Effect of Image Defogging Algorithm. ACTA AUTOMATICA SINICA, 2012, 38(9): 1410-1419. doi: 10.3724/SP.J.1004.2012.01410
Citation: GUO Fan, CAI Zi-Xing. Objective Assessment Method for the Clearness Effect of Image Defogging Algorithm. ACTA AUTOMATICA SINICA, 2012, 38(9): 1410-1419. doi: 10.3724/SP.J.1004.2012.01410

图像去雾算法清晰化效果客观评价方法

doi: 10.3724/SP.J.1004.2012.01410
详细信息
    通讯作者:

    蔡自兴

Objective Assessment Method for the Clearness Effect of Image Defogging Algorithm

  • 摘要: 针对目前去雾效果评价方法少和已有评价方法存在局限性等问题, 提出了两种图像清晰化效果评价方法.一种借助由环境渲染或光路传播图所模拟的雾 环境图像,采用全参考方式评估算法的去雾效果;一种从人类视觉感知的角度出发,采 用无参考方式构建综合评价体系以全面衡量算法的去雾性能.实验证明两种方法均能 有效地评价各算法的清晰化效果,且评估结果与人眼的主观感受相一致.本文所提评 价方法分别从构建模拟雾环境和人类视觉感知两方面考虑,与已有评价方法相比,在 获得全方面评估结论的同时,具有较好的实用性和可靠性.
  • [1] Tan R T. Visibility in bad weather from a single image. In: Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition. Anchorgae, USA: IEEE, 2008. 1-8[2] Tarel J P, Hautiére 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[3] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior. In: Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE, 2009. 1956-1963[4] Chi Jian-Nan, Zhang Chuang, Zhang Zhao-Hui, Wang Zhi-Liang. Image enhancement based on anti-symmetrical biorthogonal wavelet reconstruction. Acta Automatica Sinica, 2010, 36(4): 475-487 (迟健男, 张闯, 张朝晖, 王志良. 基于反对称双正交小波重构的图像增强方法. 自动化学报, 2010, 36(4): 475-487)[5] Gao Chao-Bang, Zhou Ji-Liu. Image enhancement based on quaternion fractional directional differentiation. Acta Automatica Sinica, 2011, 37(2): 150-159 (高朝邦, 周激流. 基于四元数分数阶方向微分的图像增强. 自动化学报, 2011, 37(2): 150-159)[6] Zhou W, Bovik A C, Sheikh H R, Simoncelli E P. Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing, 2004, 13(4): 600-612[7] Carnec M, Le Callet P, Barba D. Objective quality assessment of color images based on a generic perceptual reduced reference. Image Communication, 2008, 23(4): 239-256[8] Sheikh H R, Bovik A C, Cormack L. No-reference quality assessment using natural scene statistics: JPEG 2000. IEEE Transactions on Image Processing, 2005, 14(11): 1918-1927[9] Hautiére N, Tarel J P, Aubert D, Dumont E. Blind contrast enhancement assessment by gradient ratioing at visible edges. Image Analysis and Stereology Journal, 2008, 27(2): 87-95[10] Yu Jing, Li Da-Peng, Liao Qing-Min. Color constancy-based visibility enhancement of color images 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)[11] Yu Jing, Xu Dong-Bin, Liao Qing-Min. Image defogging: a survey. Journal of Image and Graphics, 2011, 16(9): 1561-1576 (禹晶, 徐东彬, 廖庆敏. 图像去雾技术研究进展. 中国图象图形学报, 2011, 16(9): 1561-1576)[12] Li Da-Peng, Yu Jing, Xiao Chuang-Bai. No-reference quality assessment method for defogged images. Journal of Image and Graphics, 2011, 16(9): 1753-1757 (李大鹏, 禹晶, 肖创柏. 图像去雾的无参考客观质量评测方法. 中国图象图形学报, 2011, 16(9): 1753-1757)[13] Yao Bo, Huang Lei, Liu Chang-Ping. Research on an objective method to compare the quality of defogged images. In: Proceedings of Chinese Conference on Pattern Recognition. Nanjing, China: IEEE, 2009. 1-5 (姚波, 黄磊, 刘昌平. 去雾增强图像质量客观比较方法的研究. 中国模式识别会议论文集, 南京, 中国: IEEE, 2009. 1-5)[14] Nayar S K, Narasimhan S G. Vision in bad weather. In: Proceedings of the 2002 IEEE International Conference on Computer Vision. Kerkyra, Greece: IEEE, 2002. 820-827[15] 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)[16] Huang K Q, Wang Q, Wu Z Y. Natural color image enhancement and evaluation algorithm based on human visual system. Computer Vision and Image Understanding, 2006, 103(1): 52-63[17] Xu D B, Xiao C B, Yu J. Color-preserving defog method for foggy or hazy scenes. In: Proceedings of the 4th International Conference on Computer Vision Theory and Application. Algarve, Portugal: IEEE, 2009. 69-73
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出版历程
  • 收稿日期:  2011-10-27
  • 修回日期:  2012-03-01
  • 刊出日期:  2012-09-20

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