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Perceived no reference image quality measurement for chromatic aberration

[+] Author Affiliations
Anupama B. Lamb

Savitribai Phule Pune University, College of Engineering Pune, Department of E&TC, Wellesely Road, Shivaji Nagar, Pune, Maharashtra 411005, India

Madhuri Khambete

Savitribai Phule Pune University, Cummins College of Engineering for Women, Department of E&TC, Karvenagar, Pune, Maharashtra 411052, India

J. Electron. Imaging. 25(2), 023004 (Mar 14, 2016). doi:10.1117/1.JEI.25.2.023004
History: Received February 2, 2015; Accepted February 18, 2016
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Abstract.  Today there is need for no reference (NR) objective perceived image quality measurement techniques as conducting subjective experiments and making reference image available is a very difficult task. Very few NR perceived image quality measurement algorithms are available for color distortions like chromatic aberration (CA), color quantization with dither, and color saturation. We proposed NR image quality assessment (NR-IQA) algorithms for images distorted with CA. CA is mostly observed in images taken with digital cameras, having higher sensor resolution with inexpensive lenses. We compared our metric performance with two state-of-the-art NR blur techniques, one full reference IQA technique and three general-purpose NR-IQA techniques, although they are not tailored for CA. We used a CA dataset in the TID-2013 color image database to evaluate performance. Proposed algorithms give comparable performance with state-of-the-art techniques in terms of performance parameters and outperform them in terms of monotonicity and computational complexity. We have also discovered that the proposed CA algorithm best predicts perceived image quality of images distorted with realistic CA.

© 2016 SPIE and IS&T

Citation

Anupama B. Lamb and Madhuri Khambete
"Perceived no reference image quality measurement for chromatic aberration", J. Electron. Imaging. 25(2), 023004 (Mar 14, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.2.023004


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