FSCM is a spectral-guided GAN with state-space modeling, frequency enhancement via wavelets and Fourier, and dual-stream gating for improved infrared hyperspectral image colorization.
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A quasi-linear scaling spectral method for 2D hyperbolic potentials achieves five orders of magnitude speedup using time-history splitting, TK-WFP, and large-time exponential approximations.
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FSCM: Frequency-Enhanced Spatial-Spectral Coupled Mamba for Infrared Hyperspectral Image Colorization
FSCM is a spectral-guided GAN with state-space modeling, frequency enhancement via wavelets and Fourier, and dual-stream gating for improved infrared hyperspectral image colorization.
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A spectral method for the rapid evaluation of hyperbolic potentials in two dimensions using windowed Fourier projection
A quasi-linear scaling spectral method for 2D hyperbolic potentials achieves five orders of magnitude speedup using time-history splitting, TK-WFP, and large-time exponential approximations.