/Super-Resolution-Image-Generation-with-Deep-Learning

Showcases image processing techniques using hyperspectral imaging. It includes the steps to import hyperspectral images, generate a low-resolution hyperspectral image, and a high-resolution RGB image. The script splits the images into training and testing sets, normalizes the data, and then proceeds to create a super-resolution model using a CNN.

Primary LanguageJupyter Notebook

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