基于静态多小波变换的图像融合  

Image Fusion Method Based on Stationary Multiwavelet Transform

作　　者：张学帅[1] 潘泉[1] 赵永强[1] 史慧荣[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072

出　　处：《光电子．激光》2005年第5期605-609,共5页Journal of Optoelectronics·Laser

基　　金：航空科学基金资助项目(03D53032);西工大科技创新基金资助项目(2003CR090001);西工大研究生创业种子基金资助项目(Z20040046)

摘　　要：综合了多小波分析和平移不变性质的优势,将多小波分析扩展到静态多小波的范畴,提出了一种基于静态多小波变换(SMWT)的图像融合方法。通过对源图像进行SMWT,根据变换系数的尺度内多子带联合窗口(CBWI)特性,实现多源图像的融合。该方法应用于一类多聚焦图像融合的仿真实验中,从视觉效果和信息量指标(互信息量和交叉熵)2个方面对融合图像进行主观评判和量化评价。结果表明,相比于传统小波域内的图像融合算法,该方法得到的融合结果具有更良好的视觉质量和更优的量化指标,体现出更强的融合性能。A translation-invariant extension of multiwavelet transform called stationary multi-wavelet transform (SMWT) was proposed, which yields an overcomplete signal representation, and consequently incorporates the advantages of multiwavelet transform and translation-invariant property. Then, the image fusion techniques in the SMWT domain are studied, and a new image fusion algorithm based on cross-band-window-intrascale (CBWI) property in the SMWT domain is presented. Finally, the application of our proposed method to pixel level multi-focus images fusion problem is analyzed and compared with other image fusion methods. The simulation results indicate the method's superiority to the traditional wavelet-based image fusion method in terms of both visual quality and objective evaluation criteria.

关 键 词：多小波变换 多小波分析 图像融合算法 不变性质 融合方法 变换系数 多源图像 仿真实验 方法应用 量化评价 融合图像 互信息量 视觉效果 量化指标 视觉质量 交叉熵 小波域 子带 聚焦 

分 类 号：TN919.81[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]