This work presents a perceptual-based no-reference objective image sharpness metric (CPBD metric) based on the cumulative probability of blur detection (CPBD). The proposed CPBD metric outperforms existing metrics for Gaussian-blurred and JPEG2000-compressed images.


Copyright (c) 2009-2010 Arizona Board of Regents.  All Rights Reserved.
 Contact: Lina Karam ([email protected]) and Niranjan Narvekar ([email protected]) 
 Image, Video, and Usabilty (IVU) Lab, http://ivulab.asu.edu , Arizona State University
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 Redistribution and use of this code in source and binary forms,  with or without modification, are permitted provided that the
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 - 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
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 - 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:

N. D. Narvekar and L. J. Karam, "CPBD Sharpness Metric Software", http://ivulab.asu.edu/Quality/CPBD

N. D. Narvekar and L. J. Karam, "A No-Reference Image Blur Metric Based on the Cumulative  
Probability of Blur Detection (CPBD)," accepted and to appear in the IEEE Transactions on Image Processing,  2011.

N. D. Narvekar and L. J. Karam, "An Improved No-Reference Sharpness Metric Based on the Probability of Blur Detection," International Workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM), January 2010, http://www.vpqm.org (pdf)

N. D. Narvekar and L. J. Karam, "A No Reference Perceptual Quality Metric based on Cumulative Probability of Blur Detection," First International Workshop on the Quality of Multimedia Experience (QoMEX), pp. 87-91, July 2009.

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