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

作　　者：刘维杰[1] 刘斌[2] 彭嘉雄[3] 

机构地区：[1]武汉大学计算机学院,武汉430079 [2]湖北大学数学与计算机科学学院,武汉430062 [3]华中科技大学图像识别与人工智能研究所,武汉430074

出　　处：《计算机工程》2011年第2期205-206,209,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(61072126);湖北省自然科学基金资助重点项目(2009CDA133)

摘　　要：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.

关 键 词：多聚焦图像融合 不可分小波 均方根误差 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]