摘要： 针对智能交通系统信息采集的需要，提出基于小波分析的图像融合和零树编码的小波图像压缩算法，利用小波变换将红外和可见光图像进行融合，利用各子带小波系数对图像恢复的重要程度和人眼的视觉特性对融合图像进行压缩，算法的实际应用提高了所采集的交通信息的完整性、统一性和容错性，并改善了智能交通系统的服务质量。

关键词: 图像融合, 小波变换, 零树编码, 智能交通系统

Abstract: An image fusion scheme based on the wavelet transform and an image compression algorithm based on zero-tree coding are proposed, aiming at the demand of the Intelligent Transportation System(ITS). The algorithm is used to fuse visible image and infrared image with wavelet transform and then to compress the fused image by fully employing the importance degree of the subband coefficients and visual characteristic of mankind. So it enhances the integrality and oneness of the traffic information availably and also improves the quality of the system greatly.

Key words: image fusion, wavelet transform, zero-tree coding, Intelligent Transportation System(ITS)

中图分类号: 

• TP391.43