摘要
介绍几种基于小波变换的SAR图像的融合算法,利用多分辨小波变换的系数,采用低频图像的小波系数最大值作为融合后的低频系数,高频图像根据确定的融合规则,调整高频小波系数大小。并对融合图像质量进行了对比评价,得出了这几种融合方法的各自特点。实验结果表明,这几种方法能够在保留图像微小细节方面获得满意的结果。
Image fusion algorithms of SAR image based on wavelet transform is introduced,the approach developed herein processes multi-resolution wavelet coefficients individually and adopt maximum of low-frequency image wavelet coefficients as the fusion low-frequency image wavelet coefficients,and uses high-frequency image fusion rules to adjust high-frequency image wavelet coefficients.Also this paper compared the quality of these fusion images,and obtains characters of these methods.Experimental results show that the proposed algorithms can retain subtle image detail and achieve an excellent effect.
出处
《巢湖学院学报》
2010年第3期67-72,共6页
Journal of Chaohu University
基金
巢湖学院青年资助项目(项目编号:XLQ-200915)
关键词
小波变换
SAR图像
图像融合
客观评价
wavelet transform
SAR image
image fusion
objective evaluation
