Hypercomplex Quality Assessment of Multi/Hyperspectral Images

Garzelli A.; Nencini F.

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Hypercomplex Quality Assessment of Multi/Hyperspectral Images

机译：多/高光谱图像的超复杂质量评估

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This letter presents a novel image quality index which extends the Universal Image Quality Index for monochrome images to multispectral and hyperspectral images through hypercomplex numbers. The proposed index is based on the computation of the hypercomplex correlation coefficient between the reference and tested images, which jointly measures spectral and spatial distortions. Experimental results, both from true and simulated images, are presented on spaceborne and airborne visible/infrared images. The results prove accurate measurements of inter- and intraband distortions even when anomalous pixel values are concentrated on few bands.

机译：这封信提出了一种新颖的图像质量指数，该指数通过超复数将单色图像的通用图像质量指数扩展到多光谱和高光谱图像。所提出的索引是基于参考图像和测试图像之间的超复杂相关系数的计算得出的，该系数可以共同测量频谱和空间失真。来自真实和模拟图像的实验结果均显示在星载和机载可见/红外图像上。结果证明，即使异常像素值集中在几个频带上，也能准确测量带间和带内失真。

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《Geoscience and Remote Sensing Letters, IEEE》 |2009年第4期|p.662-665|共4页
作者
Garzelli A.; Nencini F.;
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正文语种 eng
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关键词
Hypercomplex correlation coefficient (CC); hypercomplex number; image quality assessment; spectral distortion;

机译：超复相关系数（CC）;超复数;图像质量评估;光谱失真;

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Hypercomplex Quality Assessment of Multi/Hyperspectral Images

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