计算机与现代化 ›› 2010, Vol. 1 ›› Issue (5): 60-62,6.doi: 10.3969/j.issn.1006-2475.2010.05.018
• 图像处理 • 上一篇 下一篇
向昌成
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XIANG Chang-cheng
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摘要： 针对传统像素级图像融合方法割裂像素间联系的问题，提出了一种新的基于区域检测的图像融合方法。该算法主要利用PCA与高通滤波进行区域的检测。首先，将图像分块；其次，对每块利用高通滤波和主分量分析算法判断其是清晰块还是模糊块。最后选择相应的清晰块重构图像，从而得到最终的融合结果图。实验结果表明，此方法优于传统的PCA和小波方法。
关键词: 主分量分析法, 高通滤波, 多聚焦, 图像融合
Abstract: For most image fusion algorithms split relationship among pixels and treat them more or less independently, this paper proposes a multi-focus image fusion scheme using regional detection through PCA and high-pass filtering. The basic idea is to divide the source images into blocks, and then select the corresponding clear blocks, which is distinguished by high-pass filtering and PCA algorithm, to construct the resultant fused image. Experimental results show that the proposed scheme is more effective than the PCA and the wavelet scheme.
Key words: PCA, high-pass filtering, multi-focus, image fusion
中图分类号:
TP391
向昌成. PCA分块结合高通滤波的多聚焦图像融合研究[J]. 计算机与现代化, 2010, 1(5): 60-62,6.
XIANG Chang-cheng. Research on Multi-focus Image Fusion Based on PCA and High-pass Filtering[J]. Computer and Modernization, 2010, 1(5): 60-62,6.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2010.05.018
http://www.c-a-m.org.cn/CN/Y2010/V1/I5/60
