基于小波变换的图像融合算法

The algorithm of image fusion based wavelet transform

图像融合就是通过一种特定的算法将2幅或多幅图像融合成为1幅新的图像.这里主要讨论1种基于小波变换的图像融合算法.首先将原始图像分解成低频图像和高频图像,计算出小波分解后的图像系数,接着将该系数利用不同的融合算子重新融合成新的小波系数,之后进行小波逆变换,得到融合后的图像,最后分析和评价该融合算法的性能.实验表明小波变换对多聚焦图像融合是有效的,能得到较好的融合效果.

The fusion of images is the process of combining two or more images into a single image retaining important features from each.A method of image fusion based wavelet transformis discussed.Firstly,the source image is decomposed into low-frequency and high frequency images,then calculate the wavelet coefficients,compose the fused wavelet coefficients,and inverse wavelet transform to get the fusion image.Finally,the performance of the fusion algorithm is evaluated and analysed.Some experimental results show that the wavelet transform of multi-focus image fusion is effective,it can get a good fusion result.