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Haze degrades image quality and limits visibility especially in outdoor settings. This consequently affects performance on other high-level tasks such as object detection and recognition. The AOD network proposed by Boyi Li et. al. is an end-to-end CNN to de-haze an image. AOD takes as input a hazy image and generates a de-hazed image. Here i have implement the given paper AOD-net in Tensorflow.

License: GNU General Public License v3.0

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cnn-keras tensorflow image-dehazing streamlit haze-removal fog-removal python

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