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一种基于提升小波变换的图像融合改进算法
AN IMPROVED ALGORITHM FOR IMAGE FUSION BASED ON LIFTING WAVELET TRANSFORM
【摘要】 提出一种基于提升小波变换的图像融合算法。对小波分解后的图像低频子带采用平均融合算子处理,在高频子带的融合中依据小波系数树状结构特点提出了一种新的自适应融合方法,最后经过小波逆变换得到融合图像。仿真实验结果表明该算法能有效地减少融合图像的失真,是一种有效的图像融合算法。
【Abstract】 In this paper,an image fusion algorithm based on lifting wavelet transform is proposed.The decomposed low frequency sub-band is fused by mean operator,and the high frequency sub-bands use a new adaptive fusing method which accords with the tree characteristic of wavelet coefficients.Finally,the fusion image data is obtained by taking the inverse wavelet transform.Simulation results show that the algorithm is effective in reducing the fusion image distortion,and is an effective image fusion algorithm.
【基金】 湖南省教育厅项目(07C166)
- 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2009年07期
- 【分类号】TP391.41
- 【被引频次】4
- 【下载频次】152