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This software is for example usage of parallel level sets for image processing [1].
 An up 
to date version can be found on

 
	http://www0.cs.ucl.ac.uk/staff/ehrhardt/software.html. 


The software has two .m files for denoising and demosaicking of colour images

	PL_denoising.m
	PL_demosaicking.m


For a demo see


	PL_test_denoising.m

	PL_test_demosaicking.m


These test files can be executed directly without specifying any parameters.
 To change the 
test case toggle comments within these files. The structural similarity 
index [2] from

 
	https://ece.uwaterloo.ca/~z70wang/research/ssim/


is used as an image quality measure.



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[1] M. J. Ehrhardt and S. Arridge,
 
   Vector-Valued Image Processing by Parallel Level Sets,
 
   IEEE Transactions on Image Processing (to appear), 2013



[2] Z. Wang, A. C. Bovik, H. R. Sheikh and E. P. Simoncelli,
 
   Image Quality Assessment: From Error Visibility to Structural Similarity,

    IEEE Transactions on Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.

2013-07-31

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Matthias J. Ehrhardt

CMIC, University College London, UK

matthias.ehrhardt.11@ucl.ac.uk



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