量子电子学报, 2018, 35 (1): 7, 网络出版: 2018-01-30
基于可控核双边滤波Retinex水下图像增强算法
Underwater image enhancement algorithm based on controllable nuclear bilateral filtering Retinex
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
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。
Abstract
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.
石磊, 奚茂龙, 孙俊. 基于可控核双边滤波Retinex水下图像增强算法[J]. 量子电子学报, 2018, 35(1): 7. SHI Lei, XI Maolong, SUN Jun. Underwater image enhancement algorithm based on controllable nuclear bilateral filtering Retinex[J]. Chinese Journal of Quantum Electronics, 2018, 35(1): 7.