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Inversion restoration for space diffractive membrane imaging system
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DOI：10.1016/j.optlaseng.2019.105863.png)
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We proposed a novel inversion restoration method for the newly developing space diffractive membrane imaging system, in which specific imaging characteristics were first integrated into the degradation model. On this basis, a novel image inversion restoration model was established based on sparse regularization frames and matrixing confidence parameters. Then, an efficient solution method was proposed using an improved iterative shrinkage-thresholding algorithm. Experimentally, when the diffraction efficiency was higher than 60%, the proposed inversion restoration method exhibited a satisfactory processing performance, and could achieve multi-objective image quality improvement, including texture detail restoration, background radiation removal, and noise suppression.
Keyword:
Optical remote sensing
Diffractive membrane imaging system
Degradation characteristics
Diffraction efficiency
Inversion restoration method
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