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Code for "MixDehazeNet: Mix Structure block for image dehazing network"
list of dehazing papers: https://yiqunchen1999.github.io/HazeRemovalList/
K. Chi, Y. Yuan, and Q. Wang*, “Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond,”IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2023.
Built framework for Image dehazing for autonomous/electric vehicles driving in inclement weather conditions using deep learning Created a dehazing interface using Stream Lit which takes a foggy image as an input and gives the clear image as an output .Took an existing dataset, cleaned, and manipulated using Python and Deployed on website through Stream Lit