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论文:2014,Vol:32,Issue(3):340-405 |
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引用本文： |
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夏余, 曲仕茹, 李珣. 基于改进2D-2DPCA的图像融合算法[J]. 西北工业大学 |
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Xia Yu, Qu Shiru, Li Xun. A Color Image Fusion Algorithm Based on Improved Two-Directional and Two-Dimensional Principal Component Analysis[J]. Northwestern polytechnical university |
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| 基于改进2D-2DPCA的图像融合算法 |
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| 夏余, 曲仕茹, 李珣 |
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| 西北工业大学 自动化学院, 陕西 西安 710129 |
| 摘要: |
| 针对基于主元分析的图像融合算法存在结构利用率低、光谱信息损失多的缺点,同时考虑到色彩图像融合时空间变换产生的色彩畸变以及RGB色彩空间各通道间的强相关性,提出一种基于改进双向二维主元分析的图像融合算法。针对RGB色彩图像的结构特点,以待融合图像行、列方向的RGB分量作为基元进行二维主元分析得到各级主元,采用线性权重分配方法对待融合图像进行重构,依照重构图像第一主元的结构特性进行主元替换后,经加权逆变换得到融合图像。为验证算法的有效性,选取校园近红外光谱图像与对应的清晰彩色图像,以及彩色可见光图像与对应的红外图像进行实验,实验结果表明使用文中方法得到的融合图像可取得理想的融合指标和较好的空间分辨率。 |
| 关键词:
色彩图像融合
色彩畸变
主成分分析
彩色可见光图像
红外图像
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| A Color Image Fusion Algorithm Based on Improved Two-Directional and Two-Dimensional Principal Component Analysis |
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| Xia Yu, Qu Shiru, Li Xun |
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| Department of Automatic Control, Northwestern Polytechnical University, Xi'an 710129, China |
| Abstract: |
| The color transform during image fusion produces color distortion; the existing image fusion algorithms based on principal component analysis (PCA) do not fully utilize image structures, thus losing much spectral infor-mation. Hence, we propose the color image fusion algorithm mentioned in the title. We use the RGB components of a color image in its row and column directions as the base components to do two-dimensional and two-directional PCA and reconstruct the color images to be fused, thus retaining its structural information. The color image is fused with the linearly weighted and reverse transform based on the eigenvalues of a covariance matrix. The color image thus fused retains high-resolution information and energy information of the infrared thermal image. To verify the ef-fectiveness of our color image fusion algorithm, we fuse a blurred remote sensing color image and its corresponding clear remote sensing gray image and then fuse a visual color image and its corresponding infrared image. The fusion results, given in Figs. 3 through 5 and Tables 1, 2 and 3, and their analysis show preliminarily that our image fu-sion algorithm can greatly reduce the color distortion and obtain satisfactory fusion effects. |
| Key words:
algorithms
color image processing
image fusion
infrared imaging
principal component analysis
remote sensing
color distortion
visual color image
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| 收稿日期: 2013-10-17
修回日期:
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| DOI: |
| 基金项目: 航天科技创新基金(CASC201104);航空科学基金(2012ZC53043)资助 |
| 通讯作者:
Email： |
| 作者简介: 夏余(1985-),西北工业大学博士研究生,主要从事图像处理及模式识别的研究。
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| 作者相关文章 |
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| 夏余 在本刊中的所有文章 |
| 曲仕茹 在本刊中的所有文章 |
| 李珣 在本刊中的所有文章 |
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