计算机工程2011，Vol.37Issue(2)：205-206,209,3.DOI:10.3969/j.issn.1000-3428.2011.02.071
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
摘要
Abstract
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Key words
multi-focus image fusion/ nonseparable wavelet/ Root Mean Square Error(RMSE)分类
信息技术与安全科学引用本文复制引用
刘维杰,刘斌,彭嘉雄..基于分块的不可分小波多聚焦图像融合[J].计算机工程,2011,37(2):205-206,209,3.基金项目
国家自然科学基金资助项目(61072126) （61072126）
湖北省自然科学基金资助重点项目(2009CDA133) （2009CDA133）
