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Application of Pansharpening Algorithms for the Fusion of Raman and Conventional Brightfield Microscopy Images

机译:平移算法在拉曼融合中的应用和常规明地显微镜图像

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This contribution investigates the application of established pansharpening algorithms for the fusion of hyperspectral images from Raman microspectroscopy and panchromatic images from conventional brightfield microscopy. Seven different methods based on multiresolution analysis and component substitution were applied and evaluated through visual assessment and quantitative quality measures at full and reduced resolution. The results indicate that, among the considered concepts, multiresolution methods are the more promising approaches for a physically and chemically meaningful fusion of the considered modalities. Here, pansharpening based on high-pass filtering led to the best results.
机译:该贡献研究了建立的泛光斑算法的应用,从传统的明菲尔德显微镜从拉曼微穴位和全色图像中融合了高光谱图像。应用基于多分辨率分析和组分替代的七种不同的方法,并通过全视速评估和定量质量措施进行了全面和降低的分辨率。结果表明,在考虑的概念中,多分辨率方法是对所考虑的方式的物理和化学有意义的融合更有前途的方法。在这里,基于高通滤波的泛杏仁术导致了最佳效果。

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