基于分块的不可分小波多聚焦图像融合

Multi-focus Image Fusion of Nonseparable Wavelet Based on Blocking

为解决现有图像融合方法存在均方根误差较大、熵值和空间频率较小的问题,提出一种基于分块的不可分小波多聚焦图像融合方法。该方法利用不可分小波滤波器组对原图像进行多尺度分解,选取特征较明显(方差大)的块作为融合子图像的组成块,对融合块图像做不可分小波逆变换后形成融合图像。实验结果表明,相比其他融合方法,该方法能消除块痕迹、节约运算量,具有更好的融合效果。

In order to solve the problems that the existing image fusion methods have bigger Root Mean Square Error（RMSE） and smaller entropy and spatial frequency, this paper presents a multi-focus image fusion of nonseparable wavelet based on blocking. The sources images are decomposed using the nonseparable wavelet the filter bank. Then the subimages are segmented into blocks, and these blocks are fused by selecting the bigger value of the variance of the block. The inverse wavelet transform is carried out to produce the fused image. Experimental result shows that the fusion performance of the method is better than the other fusion methods. It can eliminate the blocking artifacts of the fused images and save the time of fusion.