A new spatial-spectral adaptive fidelity and noise prior reduction framework for hyperspectral image denoising uses an adaptive weight tensor and representative coefficient total variation to handle mixed noise with superior performance and efficiency.
Xuelin Xie et al.:Preprint submitted to Applied Mathematical Modelling Page 24 of 24
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Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising
A new spatial-spectral adaptive fidelity and noise prior reduction framework for hyperspectral image denoising uses an adaptive weight tensor and representative coefficient total variation to handle mixed noise with superior performance and efficiency.