Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

Understand

Hyperspectral images (HSI) have a large amount of spectral information reflecting the characteristics of matter, while their spatial resolution is low due to the limitations of imaging technology.

• Complementary to this are multispectral images (MSI), e.g., RGB images, with high spatial resolution but insufficient spectral bands.
• Hyperspectral and multispectral image fusion is a technique for acquiring ideal images that have both high spatial and high spectral resolution cost-effectively.
• Many existing HSI and MSI fusion algorithms rely on known imaging degradation models, which are often not available in practice.