Compressive Deconvolution in Random Mask Imaging.
IEEE Transactions on Computational Imaging(2015)
摘要
We investigate the problem of reconstructing signals from a subsampled convolution of their modulated versions and a known filter. The problem is studied as applies to a specific imaging architecture that relies on spatial phase modulation by randomly coded “masks.” The diversity induced by the random masks is deemed to improve the conditioning of the deconvolution problem while maintaining sampli...
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关键词
Deconvolution,Image reconstruction,Sparse matrices,Lenses,Convolution,Modulation
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