【摘要】 图像融合是信息(数据)融合的重要分支和当前研究热点。其任务是对多幅源图像信息进行提取与综合,以获得对同一场景、目标的更准确、更全面、更可靠的图像描述,从而实现图像的进一步分析、理解及目标的检测、识别或跟踪。首先对基于像素级图像融合的基本方法、塔形分解法及小波变换法进行了详细介绍,然后针对各种方法的特点及应用场合进行了对比、分析与评价。更多还原

【Abstract】 Image data fusion is an important branch in data fusion field. To fuse the original images of the same target obtained by multiple sensors and to improve the description of image are tasks of image fusion. First, many kinds of methods based on pixel-level, Such as pixel right, pyramid decomposition, wavelet transform are introduced in this paper, Then comparisons and analysis are given in several aspects. Finally, some critical problems including parallel compute of image fusion, intelligent fusion and adaptive fusion are presented.更多还原