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Journal of Electronic Imaging • Open Access

Study of no-reference image quality assessment algorithms on printed images
Author(s): Tuomas Eerola; Lasse T. Lensu; Heikki Kälviäinen; Alan C. Bovik

Paper Abstract

Measuring the visual quality of printed media is important since printed products have an important role in everyday life. Finding ways to automatically predict the image quality has been an active research topic in digital image processing, but adapting those methods to measure the visual quality of printed media has not been studied often or in depth and is not straightforward. Here, we analyze the efficacy of no-reference image quality assessment (IQA) algorithms originally developed for digital IQA with regards to predicting the perceived quality of printed natural images. We perform a comprehensive statistical comparison of the methods. The best methods are shown to accurately predict subjective opinions of the quality of printed photographs using data from a psychometric study.

Paper Details

Date Published: 13 August 2014
PDF: 12 pages
J. Electron. Imag. 23(6) 061106 doi: 10.1117/1.JEI.23.6.061106
Published in: Journal of Electronic Imaging Volume 23, Issue 6
Show Author Affiliations
Tuomas Eerola, Lappeenrannan Teknillinen Yliopisto (Finland)
Lasse T. Lensu, Lappeenrannan Teknillinen Yliopisto (Finland)
Heikki Kälviäinen, Lappeenrannan Teknillinen Yliopisto (Finland)
Alan C. Bovik, The Univ. of Texas at Austin (United States)

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