基于形态非抽样小波的实时图像融合方法  

Real-time image fusion based on morphological un-decimated wavelets

作　　者：邓苗[1] 张基宏[1,2] 柳伟[2] 梁永生[1,2] 

机构地区：[1]深圳大学信息工程学院,广东深圳518060 [2]深圳信息职业技术学院可视媒体处理与传输深圳市重点实验室,广东深圳518029

出　　处：《计算机应用》2012年第10期2809-2813,共5页journal of Computer Applications

基　　金：国家自然科学基金资助项目(61271420);广东省自然科学基金资助项目(S2012020011034)

摘　　要：提出一种适合实时图像融合的形态非抽样小波(MUDW)变换,该变换采用膨胀和腐蚀操作的平均值作为分解过程中的分析算子,以相邻尺度图像之间的差作为细节图像,使尺度刻画更精细,细节描述更准确;采用随尺度增加而大小递增的结构元素,使尺度间差异更大,应用于图像融合可得到更好的图像融合效果。相比现有的实时图像融合方法,因为膨胀和腐蚀操作的便捷性,所以具有更高的实时性。通过实验证明了该方法具有良好的多尺度分解特性,取得了更好的融合效果;进一步在重构时设立增强因子能显著增强融合图像的效果。因此,在实时图像融合上具有较强的应用价值。An efficient Morphological Un-Decimated Wavelet （MUDW） transform with more delicate and accurate multi- scale decomposition performance that suites real-time image fusion was proposed. It took the average of dilation and erosion as the analysis operator, and the difference of adjacent scale images as the detail image. Size-increasing structure elements were adopted to get better fusion result. Due to the simplicity of dilation and erosion operator, computation time is shorter than other real-time algorithms. Furthermore, a factor was added during reconstruction, to obtain an obvious enhancement effect. The experimental results show that the new method outperforms other real-time algorithms.

关 键 词：形态小波 图像融合 非抽样 多尺度 实时性 

分 类 号：TP391.413[自动化与计算机技术—计算机应用技术]