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一种基于小波变换的图像融合新算法*
引用本文:於时才,吕艳琼.一种基于小波变换的图像融合新算法*[J].计算机应用研究,2009,26(1):390-391.
作者姓名:於时才  吕艳琼
作者单位:兰州理工大学,计算机与通信学院,兰州,730050
基金项目:甘肃省自然科学基金资助项目(3zs062-B25-033)
摘    要:在阐述小波图像融合算法的基础上,针对小波分解后各频域融合算子和融合规则的选择,提出一种新的基于小波分解的图像融合算法。对小波分解后的低频分量通过度量其图像块之间的相关系数和空间频率来确定融合图像的尺度系数;对高频分量,以方向对比度为判据确定融合图像的小波系数;最后,通过小波逆变换得到融合图像。对多组图像进行实验,实验结果表明,该方法是有效的。

关 键 词:图像融合  小波变换  相关系数  方向对比度  综合熵

Novel image fusion algorithm based on wavelet transform
YU Shi-cai,LV Yan-qiong.Novel image fusion algorithm based on wavelet transform[J].Application Research of Computers,2009,26(1):390-391.
Authors:YU Shi-cai  LV Yan-qiong
Affiliation:(School of Computer & Communication, Lanzhou University of Technology, Lanzhou 730050, China)
Abstract:Based on expatiating on image wavelet fusion algorithm, aimed at the choice of fusion rule and fusion operator,this paper presented a novel image fusion algorithm based on wavelet transform.For the low-frequency image of wavelet decomposition, by measuring the correlation coefficient and spatial frequency determine the scale coefficient.In addition, for fusion of low frequency sub-image,according to the directive contrast, the wavelet coefficient of the fused image could be obtained.Finally, the fused image was reconstructed through inverse wavelet transform. This algorithm is tested by some image, the experiment shows that this method is feasible and effective.
Keywords:image fusion  wavelet transform  correlation coefficient  directive contrast  integrated entropy
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