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README.txt
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Readme File - IGSTQA (Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients ) code
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Contact:
Alireza Golestaneh ([email protected]) and Lina Karam ([email protected])
IVU Lab, http://ivulab.asu.edu/
Reference:
Synthesized Texture Quality Assessment via Multi-scale Spatial and Statistical Texture Attributes of Image and Gradient Magnitude Coefficients CVPRW 2018.
Usage:
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Run the Demo to make sure the code works successfully with your system and then you can use IGSTQA to assess the quality of synthesized textures.
Please make sure to clear the paths in your matlab so you do not receive error.
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* Copyright Notice, Conditions, Disclaimer
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Copyright Notice:
Copyright (c) 2017-2018 Arizona Board of Regents.
All Rights Reserved.
Contact: Lina Karam ([email protected]) and Alireza Golestaneh ([email protected])
Image, Video, and Usabilty (IVU) Lab, http://ivulab.asu.edu
Arizona State University
This copyright statement may not be removed from any file containing it
or from modifications to these files.
This copyright notice must also be included in any file or product
that is derived from the source files.
Redistribution and use of this code in source and binary forms,
with or without modification, are permitted provided that the
following conditions are met:
- Redistribution's of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistribution's in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
- The Image, Video, and Usability Laboratory (IVU Lab,
http://ivulab.asu.edu) is acknowledged in any publication that
reports research results using this code, copies of this code, or
modifications of this code.
The code and our papers are to be cited in the bibliography as:
Alireza Golestaneh and Lina Karam. "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted
Transform Coefficients of Gradient Magnitudes" CVPR 2017.
DISCLAIMER:
This software is provided by the copyright holders and contributors
"as is" and any express or implied warranties, including, but not
limited to, the implied warranties of merchantability and fitness for
a particular purpose are disclaimed. In no event shall the Arizona
Board of Regents, Arizona State University, IVU Lab members, authors, or
contributors be liable for any direct, indirect, incidental, special,
exemplary, or consequential damages (including, but not limited to,
procurement of substitute goods or services; loss of use, data, or
profits; or business interruption) however caused and on any theory
of liability, whether in contract, strict liability, or tort
(including negligence or otherwise) arising in any way out of the use
of this software, even if advised of the possibility of such damage.