光学学报, 2018, 38 (1): 0101002, 网络出版: 2018-01-22   

基于背景光估计与暗通道先验的水下图像复原 下载: 698次

Underwater Image Restoration Based on Background Light Estimation and Dark Channel Prior
作者单位
1 西北工业大学理学院, 陕西 西安 710025
2 北京大学工学院, 北京 100871
摘要
依据背景光的海洋光学定义, 提出了一种新的自然光照条件下的水下图像复原方法。基于合理假设及光学理论公式推导, 估计出计算背景光所需的水体光学参数(衰减系数和散射系数); 利用散射系数与波长的关系分别计算红、绿、蓝三个通道的传输函数值, 并使用导向滤波精细化传输图像; 最终通过逆求解成像模型复原水下图像。实验结果表明所提算法在恢复场景物体原始颜色及去除背景散射方面有一定的优势。
Abstract
A new underwater image restoration method under natural light is proposed according to the ocean optics definition of background light. Optical parameters of water (attenuation coefficient and dissipation coefficient) used to calculate the background light are estimated based on reasonable hypothesis and deduction of optical theory formula. The relationship between scattering coefficient and wavelength is used to calculate the values of transmission functions of three channels (red, green and blue), and guided filtering is used to refine the transmission image. Finally, the underwater image is reconstructed with an inverse solving imaging model. Experimental results show that the proposed algorithm has some advantages in restoring the original color of the scene and removing the backscattering.
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谢昊伶, 彭国华, 王凡, 杨成. 基于背景光估计与暗通道先验的水下图像复原[J]. 光学学报, 2018, 38(1): 0101002. Xie Haoling, Peng Guohua, Wang Fan, Yang Cheng. Underwater Image Restoration Based on Background Light Estimation and Dark Channel Prior[J]. Acta Optica Sinica, 2018, 38(1): 0101002.

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