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A retina based multi-resolution image fusion

机译:基于视网膜的多分辨率图像融合

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Multiresolution images can be merged more efficiently, by taking into account the multiscale properties of the human vision system. To achieve this goal it is necessary to build a multiscale fusion model, based on the retinal cell photoreceptors. This paper introduces a general issue of this model, and the new application of the model in multispectral image fusion. The proposed method is compared with the HSI, PCA, Brovey, and wavelet, methods. Results show it preserves more spectral features with less spatial distortion.
机译:通过考虑人体视觉系统的多尺度属性,可以更有效地合并多分辨率图像。为了实现这一目标,必须基于视网膜细胞光感受器构建多尺度融合模型。本文介绍了该模型的一般问题,以及模型在多光谱图像融合中的新应用。将该方法与HSI,PCA,Brovey和小波,方法进行比较。结果表明它保留了更少的空间失真的频谱特征。

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