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基于地物波谱特性的透射率-暗原色先验去雾增强算法

史德飞 李勃 丁文 陈启美

史德飞, 李勃, 丁文, 陈启美. 基于地物波谱特性的透射率-暗原色先验去雾增强算法. 自动化学报, 2013, 39(12): 2064-2070. doi: 10.3724/SP.J.1004.2013.02064
引用本文: 史德飞, 李勃, 丁文, 陈启美. 基于地物波谱特性的透射率-暗原色先验去雾增强算法. 自动化学报, 2013, 39(12): 2064-2070. doi: 10.3724/SP.J.1004.2013.02064
SHI De-Fei, LI Bo, DING Wen, CHEN Qi-Mei. Haze Removal and Enhancement Using Transmittance-dark Channel Prior Based on Object Spectral Characteristic. ACTA AUTOMATICA SINICA, 2013, 39(12): 2064-2070. doi: 10.3724/SP.J.1004.2013.02064
Citation: SHI De-Fei, LI Bo, DING Wen, CHEN Qi-Mei. Haze Removal and Enhancement Using Transmittance-dark Channel Prior Based on Object Spectral Characteristic. ACTA AUTOMATICA SINICA, 2013, 39(12): 2064-2070. doi: 10.3724/SP.J.1004.2013.02064

基于地物波谱特性的透射率-暗原色先验去雾增强算法

doi: 10.3724/SP.J.1004.2013.02064
基金项目: 

国家自然科学基金(61105015),江苏省自然科学基金(BK2011511),江苏省科技支撑计划(BE2011747)资助

详细信息
    作者简介:

    史德飞 南京大学电子科学与工程学院硕士研究生. 主要研究方向为图像处理.E-mail:st_fly@sina.com

Haze Removal and Enhancement Using Transmittance-dark Channel Prior Based on Object Spectral Characteristic

Funds: 

Supported by National Natural Science Foundation of China (61105015), Natural Science Foundation of Jiangsu Province (BK2011511), and Science and Technology Support Program of Jiangsu Province (BE2011747)

  • 摘要: 室外场景在雾、霾等天气的影响下能见度降低、成像效果不佳. 本文从大气散射 成像模型出发,从地物波谱特性的角度拓展暗原色先验理论,进而根据人眼视锥细胞对短中长波长光的刺激比例(LMS)将RGB 三通道转换为耦合性更低的透射率三通道,有效地降低了RGB三通道间的互相关性,并在对数图像处理(Logarithmic image processing,LIP)的框架下,提出基于彩色对数图像处理模型的自适应增强算法,对去雾后的图像进行增强. 实验结果表明,耦合性更低的透射率三通道可以更准确地复原出图像,同时采用基于彩 色对数图像处理模型的增强算法可以明显地提高图像的可视性.
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出版历程
  • 收稿日期:  2012-08-03
  • 修回日期:  2012-09-29
  • 刊出日期:  2013-12-20

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