基于颜色校正和引导滤波分层的水下图像增强

UNDERWATER IMAGE ENHANCEMENT BASED ON COLOR CORRECTION AND GUIDED FILTERING LAYERING

针对海洋复杂成像环境导致水下图像退化严重,出现颜色衰退、对比度低以及细节模糊等现象,提出一种基于颜色校正和引导滤波分层的水下图像增强方法。使用白平衡算法对水下图像进行颜色校正;采用引导滤波算法将颜色校正后的图像拆分为基础图像和细节图像,将基础图像转换至Lab空间,对基础图像的亮度通道采用对比度受限的自适应直方图均衡法(CLAHE)增强对比度,再将图像转换回RGB空间,同时对细节图像采用Gamma变换增强纹理信息;对增强后的基础图像和细节图像进行加权融合。结果表明,该方法可以有效地提升原始图像色彩和对比度,丰富图像细节信息。

The complex marine imaging environment leads to serious degradation of underwater images,color fading,low contrast and blurred details.Aiming at these problems,we propose an underwater image enhancement method based on color correction and guided filtering layering.We used the white balance algorithm to correct the color of the underwater image.We adopted the guided filtering algorithm to split the color-corrected image into a basic image and a detailed image.The basic image was converted to Lab space.The brightness channel of the basic image applied the contrast limited adaptive histogram equalization(CLAHE)to enhance the contrast.And the image was converted to RGB space.The Gamma transformation was adopted to enhance the texture information of the detailed image.We weighted and fused the enhanced basic image and the detailed image.The results show that this method can effectively improve the color and contrast of the original image and enrich the image detail information.