| 结合改进红通道先验与幂律校正CLAHE的水下图像复原方法 |
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| 引用本文： | 朱佳琦,周丽丽,闫晶晶,王桥桥,蒋玉红,何立风.结合改进红通道先验与幂律校正CLAHE的水下图像复原方法[J].红外技术,2021,43(7):696-701. |
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| 作者姓名： | 朱佳琦 周丽丽 闫晶晶 王桥桥 蒋玉红 何立风 |
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| 作者单位： | 1.陕西科技大学 电气与控制工程学院，陕西 西安 710021 |
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| 摘 要： | 针对水下降质图像复原过程中，存在背景光预估偏差及对比度失衡的问题，提出一种水下图像复原方法。首先根据超像素图像分割方法确定背景光区域及取值，然后采用红通道先验理论求取预估透射率，获得初步复原图像；最终通过归一化幂律校正的限制对比度自适应直方图均衡化（Contrast Limited Adaptive Histogram Equalization，CLAHE）算法增强复原图像的颜色。使用3种图像质量评价标准对实验结果进行客观分析，结果表明，该方法可以有效均衡对比度，提高可视化效果。
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| 关 键 词： | 水下图像复原 背景光预估 红通道先验 CLAHE 颜色校正 |
| 收稿时间： | 2020-06-09 |
Underwater Image Restoration Method Combining Improved Red Channel Prior and Power Law Correction-based CLAHE Algorithm |
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| Affiliation: | 1.School of Electrical and Control Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China2.School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China |
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| Abstract: | An underwater image restoration method was proposed to address the issues of background light estimation deviation and contrast imbalance that occurs during the restoration of water degradation images. First, the background light area and value are determined according to the superpixel image segmentation method, and then the red channel prior theory is used to obtain the estimated transmittance and the preliminary restored image. Finally, the color of the restored image is enhanced using the normalized power law correction-based contrast limited adaptive histogram equalization (CLAHE) algorithm. Three image quality evaluation standards are used to objectively analyze the experimental results, and it is found that the proposed method can effectively balance the contrast and improve the visualization effect. |
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