Image fusion algorithms using discrete cosine transform
Image fusion algorithms using discrete cosine transform
复制标题
DOI：
--
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Zhu Wei-le
中科院分区：
文献类型：
--
作者：
Zhu Wei-le
提出了一种基于离散余弦变换（DCT）的图像融合算法和小波变换与DCT相结合的图像融合方案。前者基于DCT根据DCT系数高频能量对原始图像的相应区域进行融合，后者利用小波变换和DCT利用DCT系数高频能量对低频子图进行融合。小波分解最高层次的小波高频系数由小波低频系数决定。选取局部偏差较大的其他小波分解层次的小波高频系数。通过平均误差、峰值信噪比、均方根误差等参数对融合后的图像进行评价，并与基于小波变换或DCT的传统图像融合方法进行比较。实验结果表明，基于小波变换与DCT相结合的新算法性能最佳，平均误差降低40.8% ~ 69.5%，峰值信噪比提高9.9% ~ 15.6%，均方根误差降低34.8% ~ 47.5%。该方法优于传统的小波变换方法。该算法有效地提高了融合图像的质量，评价结果与视觉效果吻合较好。基于DCT的算法计算量小，更适合实时处理。
An image fusion algorithm based on discrete cosine transform(DCT) and an image fusion scheme using wavelet transform combined with DCT were proposed.The former based on DCT fused the corresponding areas of the original images according to the DCT coefficient high frequency energy and the latter using wavelet transform and DCT fused the low frequency submaps by use of DCT coefficient high frequency energy.The wavelet high frequency coefficients of the highest wavelet decomposition level were decided by the wavelet low frequency coefficients.The wavelet high frequency coefficients of the other wavelet decomposition levels were selected with the greater local deviation.The fused images of the algorithms purposed were evaluated by some parameters such as average error,peak signal noise rate,and root mean square error,compared with other conventional image fusion methods based on wavelet transform or DCT.The experimental results show that the new algorithm based on wavelet transform combined with DCT provides the best performance with 40.8% to 69.5% reduction in average error,9.9% to 15.6% improvement of peak signal noise rate and 34.8% to(47.5%) reduction in root mean square error.It is superior to the conventional methods using wavelet transform.This algorithm improves the quality of the fused image effectively,the evaluation results coincide with the visual effect very well.The algorithm based on DCT needs less computational burden and is more suitable for the real-time processing.