计算机工程与应用2019，Vol.55Issue(5)：211-218,250,9.DOI:10.3778/j.issn.1002-8331.1711-0216
多通道图像EMD及应用
EMD for Multi-Channel Images and Its Applications
摘要
Abstract
The existing Empirical Mode Decomposition(EMD)methods usually ignore the correlation of each channel image when decomposing a multi-channel image(e.g. a color image). To ameliorate, this paper presents a novel EMD method for multi-channel images. It computes the upper and lower envelopes of multi-channel images by an interpolation approach based on bi-Laplacian operator, and sets up a whole stopping criterion of the sifting process to consider the corre-lation of all channel images. The novel EMD method can decompose a multi-channel image into a finite number of Intrinsic Mode Functions(IMFs)with different scale features and a residue representing the whole change trend of the image. According to the novel EMD method, a suite of challenging application tasks in image analysis and processing can be undertook, such as image sharpening and night image enhancement. Experimental results demonstrateal this method and its applications can generate good results.关键词
多通道图像/经验模态分解/双拉普拉斯算子/图像分析和处理Key words
multi-channel images/ empirical mode decomposition/ bi-Laplacian operator/ image analysis and processing分类
信息技术与安全科学引用本文复制引用
胡建平,李玲,谢琪,李鑫..多通道图像EMD及应用[J].计算机工程与应用,2019,55(5):211-218,250,9.基金项目
国家863项目(No.2015AAXXXX) （No.2015AAXXXX）
教育部基本科研研究项目(No.110404035) （No.110404035）
辽宁省教育厅一般项目(No.L2015016) （No.L2015016）
辽宁省自然科学基金(No.2014020131). （No.2014020131）
