基于电磁理论的水下图像色彩补偿

Underwater Image Color Compensation Based on Electromagnetic Theory

在水下环境中,光波会因散射和被水吸收产生衰减,导致水下图像存在对比度低、图像模糊、颜色失真等问题。彩色图像传感器具有RGB基本颜色传感器,每个颜色传感器可检测不同波长的光信息。由于不同波长的光具有不同的传输系数,因此对水下图像进行复原时,需要考虑这些基本颜色光之间的差异。针对红色波段的光被水严重吸收导致图像R通道亮度衰减的问题,根据电磁波传输理论获得景物与摄像机间的距离,以及R通道因水吸收导致的衰减系数,求出R通道的传输系数。为了验证本文方法的可行性,通过主观评价和客观评价对实验获得的图像进行质量评估。结果表明,相比于传统算法,本文方法可以更有效地对图像色彩进行补偿和去模糊,其复原图像更真实。

In underwater environments,light waves are attenuated by scattering and absorption,which cause problems such as low contrast,blurred underwater image,and color distortion.The color image sensor has three basic color sensors of RGB and each color sensor can detect light information of different wavelengths.Since different wavelengths of light have different transmission coefficients,the differences within these basic colors need to be considered to solve the above problems.Aiming at the problem that the brightness of R channel is decayed as the red band light is seriously absorbed by water,we propose a new method to obtain the distance between the scene and the camera and the attenuation factor of R channel due to water absorption based on electromagnetic wave theory,and ultimately get the transmission coefficient of R channel.In order to validate the feasibility of proposed method,the quality of experimental images is evaluated both by subjective and objective evaluation.The evaluation results show that compared with the traditional algorithm,the proposed method can compensate the image color and remove blur more effectively and make the restored image more realistic.