一种新的自适应图像增强融合算法

提出了一种新的自适应图像增强融合算法,算法将输入图像分解为反映图像平均照度特征的低频分量和反映图像对比度特征的高频分量图像,基于局部灰度方差增强因子和非线性投影变换因子进行自适应图像增强处理,基于局部能量、局部归一化互相关融合测度和加权融合算子对增强后的图像进行特征提取和重构,得到融合图像.有效地将输入图像细节特征传递组合到融合图像中.

A Novel Adaptive Image Enhanced Fusion Algorithm

A novel adaptive image enhanced fusion algorithm is presented. The new algorithm separates original images into low frequency and high frequency components. The low frequency component represents the local luminance mean feature, and the high frequency component represents local contrast feature. Using enhance operator based on local gray variance, and nonlinear mapping operator, the algorithm performs adaptive enhancement of infrared and visible images. The feature is extracted and fused image is constructed based on local spatial energy and normalized correlation measure within neighborhood and weighted average fusion operator. The salient detail feature information of the input images is presented in the fused image.