Spectral Super-Resolution

Spectral Super-Resolution is an advanced computer vision technique aimed at recovering high-resolution spectral images from low-resolution ones through optimized algorithms. The goal of this technology is to enhance both the spatial and spectral resolutions of images, thereby obtaining finer image details and more accurate spectral information. In fields such as remote sensing, medical imaging, and materials science, the application of Spectral Super-Resolution can significantly improve data quality and analysis accuracy, providing crucial support for scientific research and practical applications.