NDLI: A visual attention based reference free perceptual quality metric

Content Provider	IEEE Xplore Digital Library
Author	Imran, A.S. Guraya, F.F.E. Cheikh, F.A.
Copyright Year	2010
Description	Author affiliation: Gjøvik University College, P.O.Box-191, N-2802, Norway (Imran, A.S.; Guraya, F.F.E.; Cheikh, F.A.)
Abstract	In this paper we study image distortions and impairments that affect the perceived quality of blackboard lectures images. We also propose a novel reference free image quality evaluation metric that correlates well with the perceived image quality. The perceived quality of images of blackboard lecture contents is mostly affected by the presence of noise, blur and compression artifacts. Therefore, the importance of these impairments are estimated and used in the proposed quality metric. In this context there is no reference, distortion free, image; thus we propose to evaluate the image perceived quality based on the features extracted from its content. The proposed objective metric estimates the blockliness and blur artifacts in the salient regions of the lecture images. The use of a visual saliency models allows the metric to focus only on the distortions in perceptually important regions of the images; hence mimicking the human visual system in its perception of image quality. The experimental results show a very good correlation between the objective quality scores obtained by our metric and the mean opinion scores obtained via psychophysical experiments. The obtained objective scores are also compared to those of the PSNR.
Starting Page	55
Ending Page	60
File Size	1443912
Page Count	6
File Format	PDF
ISBN	9781424472888
e-ISBN	9781424472895
DOI	10.1109/EUVIP.2010.5699132
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Image quality Text Saliency PSNR Correlation Image coding Image edge detection Reference Free Perceptual Quality Metric Videos Quality Evaluation Lecture Images
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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