Melon-Xu/PSTLFusion
Source Code for paper "Infrared and Visible Image Fusion via Parallel Scene and Texture Learning".
This project helps create clearer, more informative images by combining details from both infrared and standard visible light pictures. It takes separate infrared and visible images and produces a single, enhanced image that retains crucial thermal information while also showing fine visual textures. This is useful for professionals like surveillance operators, medical diagnosticians, or engineers conducting inspections who need to see beyond what a single camera type can capture.
No commits in the last 6 months.
Use this if you need to merge an infrared image and a visible light image into one unified, highly detailed output for tasks like object detection or enhanced visual assessment.
Not ideal if you only work with one type of imagery (infrared or visible) and do not need to combine them.
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Language
Python
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Last pushed
Aug 03, 2022
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