摘要
光在水下传播受到微粒和水吸收作用的影响,导致水下图像对比度低,含有噪声且存在颜色偏差。针对传统的同态滤波算法增强后的图像还存在雾状模糊且颜色偏暗的问题,提出改进的同态滤波与Retinex多尺度融合的水下图像增强算法。该算法首先用基于双边滤波的单尺度Retinex算法对原始图像进行颜色校正;然后对修正后的图像构造相应的Butterworth陷波滤波器进行滤波;最后对颜色修正后的图像和同态滤波增强后的图像进行多尺度融合。通过实验可得,该方法能够有效地改善色偏,提高图像的清晰度。
The light propagation under water is influenced by the absorption of water and particles which may result in low contrast noise and color deviation of underwater images.Aiming at the problem that the enhanced image of the traditional homomorphic filtering algorithm still has foggy blur and dark color an improved underwater image enhancement algorithm is proposed which fuses the improved homomorphic filtering with multi-scale Retinex.Firstly the single-scale Retinex algorithm based on bilateral filtering is used to correct the color of the original image.Then the modified image is filtered by constructing a corresponding Butterworth notch filter.Finally the image enhanced by homomorphic filtering and the image after color modification are fused at multiple scales.Experimental results show that this method can effectively suppress color offset and improve image resolution.
作者
王红茹
张玲
王佳
卢道华
WANG Hongru;ZHANG Ling;WANG Jia;LU Daohua(Jiangsu University of Science and Technology,School of Mechanical Engineering,Zhenjiang 212003 China;Jiangsu University of Science and Technology,Key Laboratory of Advanced Manufacture and Process for Marine Mechanical Equipment Research Institute,Zhenjiang 212003 China;Jiangsu University of Science and TechnologyMarine Equipment Research Institute,Zhenjiang 212003 China)
出处
《电光与控制》
CSCD
北大核心
2021年第5期32-35,共4页
Electronics Optics & Control
基金
国家重点研发计划资助项目(2018YFC0309100)。
