FocusSelectionEval.py
– to evaluate the performance of the FS module using EMBM with improvements. (Default parameters are tuned to achieve the best performance on our dataset).FocusSelectionEval_trystd.py
– to evaluate the performance of the FS module using our method only. There is 0.04 performance drop but about 600 speedup. (Default parameters are tuned to achieve the best performance on our dataset).EdgeModelBasedIQA.m
,edge_width.m
, andmag2.cpp
are from EMBM.
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Redistribution and use of this code in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
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The code and our papers are to be cited in the bibliography as:
Jingwei Guan, Wei Zhang, Jason Gu and Hongliang Ren. "No-reference blur assessment based on edge modeling." J. Vis. Commun. Image Represent. 29 (2015) 1¨C7.
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