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Enhanced Efficient Image Dehazing for Onboard Satellite Imagery Processing
- Citation Author(s):
- Submitted by:
- Sai Sreekar Doranala
- Last updated:
- Mon, 07/08/2024 - 15:59
- DOI:
- 10.21227/08d7-5j55
- Data Format:
- License:
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Abstract
This folder contains folders of images.
The original folder contains the non dehazed images, default and tuned contain the dehazed counterparts.
Default folder referes to the outputs obtained using an exponent of 0.8.
Tuned refers to the images with a PSNRBR of 54 or above.
The images in paper are kept in a seperate folder.
Instructions:
The dataport folder contains folders of images.
The original folder contains the non dehazed images, default and tuned contain the dehazed counterparts.
Default folder referes to the outputs obtained using an exponent of 0.8.
Tuned refers to the images with a PSNRBR of 54 or above.
The images in paper are kept in a seperate folder.
The dehaze folder contains python .ipynb file that can be used to perform dehazing.
