摘要
为提高水下图像的成像质量,提出了一种基于可控核函数双边滤波Retinex算法的水下灰度图像增强方法。引入改进的Sigmoid函数,提升水下图像变换后的照度图像亮度,提出了一种可控核函数的双边滤波函数来估计图像的光照强度,克服了传统高斯函数存在的边缘模糊和光晕伪影问题,采用增益函数对照度估计图像进行了校正。结果表明提出的方法符合人眼视觉特性,能有效提升水下图像的对比度和清晰度。
In order to improve quality of underwater images, an underwater gray image enhancement method is proposed based on controllable nuclear bilateral filtering Retinex algorithm. An improved Sigmoid function is introduced to enhance the brightness of transformed illumination images, and a bilateral filtering function with controllable kernel function is proposed to estimate the image light intensity, which overcomes edge blurring and halo artifacts problem. Illumination estimation image is corrected by using gain function. Results show that the proposed algorithm accords with human visual characteristics, which can effectively improve the contrast and resolution of underwater images.
出处
《量子电子学报》
CAS
CSCD
北大核心
2018年第1期7-12,共6页
Chinese Journal of Quantum Electronics
基金
江苏省高校自然科学研究面上项目
16KJB520051~~
关键词
图像处理
水下图像增强
SIGMOID函数
可控核函数
image processing
underwater image enhancement
Sigmoid function
controlled kernel function
