| 暗原色雾天图像增强方法改进 |
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| 引用本文： | 曹维祥.暗原色雾天图像增强方法改进[J].重庆科技学院学报(自然科学版),2018(2):73-76. |
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| 作者姓名： | 曹维祥 |
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| 作者单位： | 六安职业技术学院,安徽 六安,237158 |
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| 基金项目： | 安徽省高校自然科学研究重点项目"高职院校数字化校园环境下移动智能终端教学系统研究"(KJ2017A662),安徽省高等学校质量工程项目"软件技术专业综合改革试点"(2016ZY118),安徽省高等学校质量工程项目"基于'双创'背景的高职计算机基础课程模块教学改革"(2016JYXM1005) |
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| 摘 要： | 讨论图像增强技术中利用暗原色先验去雾算法的不足之处,并提出改进方法。提取一幅图像所有小区域中最暗点的坐标,得到其分布图;通过这些点得到较准确的透射率值,以此近似估计图中其他点的透射率,进而复原去雾后的图像。
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| 关 键 词： | 去雾 暗原色 透射率 分布图 复原 de-hazing dark raw color transmission distribution recovery |
An Enhancement Approach of Fog-Degraded Images Based on Dark Raw Color Algorithm |
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| CAO Weixiang.An Enhancement Approach of Fog-Degraded Images Based on Dark Raw Color Algorithm[J].Journal of Chongqing University of Science and Technology:Natural Science Edition,2018(2):73-76. |
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| Authors: | CAO Weixiang |
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| Abstract: | The paper discusses the algorithm principle of utilizing dark channel prior to enhance the fog-degraded image and points out its limitations and methods for improvement. Through extracting the coordinates of the darkest points in all the micro-regions of the image, the distribution diagram of these points is formed. Based on these points,we can get the relatively accurate transmissivity value,through which we can estimate the transmissivity val-ue of other points in the image,and then restore the image after defogging. |
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