Hyperspectral Image Super-Resolution Based on Frequency Characteristics

Super-resolution is of great importance when it comes to hyperspectral image processing. The existing methods have not explored the frequency component relationships between low-resolution hyperspectral images (LR-HSIs), high-resolution multispectral images (HR-MSIs), and high-resolution hyperspectral images (HR-HSIs). Drawing from empirical observations of the correlation between amplitude and the illumination / spectral characteristics of images, as well as the correlation between phase and the structural aspects of images, we show that the amplitude of LR-HSI is closer to HR-HSI, and the phase of HR-MSI is closer to HR-HSI. Based on this, we devise the Phase-amplitude Decoupled Modulator (PaDM), which extracts amplitude information from LR-HSI and phase information from HR-MSI to regulate the hyperspectral image super-resolution (HSISR) process. Experiments demonstrate the effectiveness of the proposed method.