基于MSR的水下图像增强算法研究

Underwater Image Enhancement Algorithm Based on Improved Retinex Method

针对在水下环境中,由于水体对光的吸收和光的散射,以及深海图像由于人工光源光线不均匀,使得水下图像存在颜色失真、图像模糊及曝光不足等问题。根据先消除图像模糊后颜色校正的思路,本文提出了一种多尺度Retinex算法和基于颜色通道直方图量化的颜色校正算法相结合的水下图像处理新算法,该方法采用了基于中心环绕的多尺度Retinex算法(Multi-Scale Retinex, MSR)。并采用基于颜色通道直方图量化的颜色校正算法调整图像,以改善水下图像对比度低、颜色衰减、整体模糊、细节不清晰等问题。实验结果表明,论文提出的方法有效地降低了色彩失真的影响,又较好地突出了图像细节,使水下彩色图像具有更好的视觉效果。

The paper aimed at improving the problem of color distortion, blur and underexposure, which caused by absorption of water and light scattering in the underwater environment, and uneven light caused by artificial illumination in the deep sea. According to the ideal of removing the color distortion after the image blurring removal, a novel method of image enhancement has propose, combining multi-scale retinex (MSR) and color correction algorithm based on color histogram quantization. The color correction algorithm based on color channel histogram was used to adjust the image to improve problems of the low contrast, color attenuation, overall fuzzy, unclear details and so on. The experimental results showed that the proposed method can effectively reduce the influence of color distortion and highlight the image details, so that the underwater color image has better visual effect.