计算机科学 ›› 2019, Vol. 46 ›› Issue (9): 254-258.doi: 10.11896/j.issn.1002-137X.2019.09.038
张冰1,2, 谢从华2, 刘哲3
ZHANG Bing1,2, XIE Cong-hua2, LIU Zhe3
摘要： 针对多聚焦图像融合算法中边缘模糊和重影的问题,文中提出了一种基于显著稀疏表示模型的多聚焦图像融合方法。首先,根据显著稀疏表示将图像分解为公共稀疏部分、独有稀疏部分和细节信息。其次,利用独有的特征和细节信息检测图像的聚焦区域。最后,利用图像的细节和邻域信息更精确地划分聚焦区域和散焦区域,将不同的源图像的聚焦区进行融合。大量实验结果表明,该方法对多聚焦图像实现了有效融合。与几种最先进的融合算法相比,该方法处理后的图像保留了更多的源图像信息和边缘信息,减少了未配准图像的重影,提高了图像的融合效果。
中图分类号:
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