引导滤波和对数变换算法融合的多尺度Retinex红外图像增强

Multiscale Retinex Infrared Image Enhancement Based on the Fusion of Guided Filtering and Logarithmic Transformation Algorithm

针对采用红外成像仪获取红外图像边缘模糊、对比度差等缺点造成图像视觉效果差、质量低等问题。以多尺度Retinex算法为框架,依据引导滤波保边和梯度保持性,提出引导滤波和对数变换算法融合的多尺度Retinex红外图像增强方法。首先,用引导滤波替换MSR算法中的高斯滤波来估计照度分量。其次,将照度分量经过对数变换处理,执行低灰度部分扩展和高灰度部分压缩。最后,引导滤波分割得到的细节层图像线性放大并与MSR(多尺度Retinex)处理后的图像叠加,获得增强的红外图像。实验证明,与传统MSR算法和引导滤波相比该算法效果明显,可以有效地提高红外图像质量。

Problems such as blurred edges and poor contrast in infrared images acquired by an infrared imager lead to poor visual effects and low image quality.Based on the multi-scale Retinex(MSR)algorithm,a MSR infrared image enhancement method based using guided filter edge preserving and gradient preserving is proposed.Firstly,a guided filter is used in place of the Gaussian filter in the MSR algorithm to estimate the illuminance component.Secondly,the illumination component is processed via logarithmic transformation,expanding the low end of the gray scale and compressing the high end.Finally,the detail layer image obtained using guided filtering is linearly amplified and superimposed with the MSR processed image to obtain an enhanced infrared image.Experimental results demonstrate that the proposed algorithm can effectively improve the quality of infrared image compared with the conventional MSR algorithm and guided filter.