摘要
针对现有的Retinex算法不能自动调节参数,提出一种基于参数估计的双边滤波Retinex算法。该算法首先利用主成份分析和Canny边缘检测算法分别进行噪声估计和边缘强度估计;然后通过线性相关运算计算双边滤波的空间几何标准差参数和亮度标准差参数;再利用参数估计的双边滤波把图像分解出照度图像和反射图像;最后将照度图像和反射图像通过不同方法的压缩和增强并合成一幅新的图像。通过实验表明,它不仅能够自动设置参数,还能有效抑制光晕现象。
According to the existing Retinex algorithm can not automatically adjust the parameters, an adaptive bilateral filter Retinex algorithm based on parameter estimation was proposed. Firstly, the principal component analysis and the Canny edge detection algorithm are used to estimate the noise and edge intensity. Then the spatial geometric standard deviation parameter and the luminance standard deviation parameter of the bilateral filter are calculated by linear correlation calculation. And the bilateral filter of the parameter estimation is used to decompose the image and the reflected image. Finally, the illumination image and the reflected image are compressed and enhanced in different ways and a new image is synthesized. The experimental results show that the algorithm can not only automatically set the parameters, but also effectively inhibit the halo phenomenon.
出处
《电子技术应用》
2018年第3期117-121,共5页
Application of Electronic Technique
基金
东华理工大学研究生创新基金(DHYC-2017007)
