GSM-based IR denoising algorithm for vertical non-uniformity.

• python 2.7
• numpy 1.10.1
• scipy 0.16.1
• scikit-learn 0.17
• scikit-image 0.11.3

Call the script with the first argument being the non-uniformity degraded image, and the second argument being the amount of non-uniformity to be removed. Note that this will only work with vertical non-uniformity in its current state.

Input image:

python2 GSM_DNU_method.py 2.bmp 0.038

Output image:

Total time to denoise this image:

$ time python2 GSM_DNU_method.py 2.bmp 0.038

real    2m10.388s
user    2m10.377s
sys     0m0.093s

Kindly report any suggestions or corrections as an issue or as a pull request.

Copyright (c) 2015 The University of Texas at Austin All rights reserved.

Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this code (the source files) and its documentation for any purpose, provided that the copyright notice in its entirety appear in all copies of this code, and the original source of this code, Laboratory for Image and Video Engineering (LIVE, http://live.ece.utexas.edu) at the University of Texas at Austin (UT Austin, http://www.utexas.edu), is acknowledged in any publication that reports research using this code. The research is to be cited in the bibliography as:

1. T. Goodall, A. C. Bovik, Haris Vikalo, and Nicholas J. Paulter, Jr., "Non-uniformity Correction of IR Images using Natural Scene Statistics", Global Signal and Information Processing (GlobalSIP), December 2015

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