Spectral Image Fusion from Compressive Measurements.

IEEE Transactions on Image Processing(2019)

引用 27|浏览12
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摘要
Compressive spectral imagers reduce the number of sampled pixels by coding and combining the spectral information. However, sampling compressed information with simultaneous high spatial and high spectral resolution demands expensive high-resolution sensors. This paper introduces a model allowing data from high spatial/low spectral and low spatial/high spectral resolution compressive sensors to be...
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关键词
Image coding,Sensors,Sparse matrices,Spatial resolution,Image reconstruction,Inverse problems
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