基于冗余第二代小波的多传感器图像融合算法

Multi-Sensor Image Fusion Algorithm Based on the Redundant Lifting Wavelet Transform

为了增强来自不同传感器的图像信息，改善图像的提取能力，本文采用了一种基于冗余提升小波变换的图像融合算法，算法针对变换后的低频分量和高频分量的不同特点，选用了不同的融合规则进行融合，然后通过冗余提升小波逆变换得到融合图像。实验结果表明，本文算法实现的数据融合图像内容清晰，明显地保存了边缘细节，提高了运算速度，取到了较好的融合效果。

To get much richer image information from different sensors and improve the extraction ability of the image,the paper adopts an image fusion algorithm based on the redundant lifting wavelet transform.According to the different characteristics of low and high frequency components,we can choose different rules to fuse the image and finally acquire the fused image through the redundant and lifting inverse wavelet transform.The results of the experiment shows that the algorithm proposed in this paper can preserve the detial information of the edge and improve the operation speed, which can acquire a better fusion effect.