NDLI: An efficient no-reference metric for perceived blur

Content Provider	IEEE Xplore Digital Library
Author	Liu, H. Wang, J. Redi, J. Le Callet, P. Heynderickx, I.
Copyright Year	2011
Description	Author affiliation: Department of Mediamatics, Delft University of Technology, Delft, The Netherlands (Liu, H.; Redi, J.; Heynderickx, I.) \|\| LUNAM Université, Université de Nantes, IRCCyN UMR CNRS 6597, Polytech Nantes, Nantes, France (Wang, J.; Le Callet, P.)
Abstract	This paper presents an efficient no-reference metric that quantifies perceived image quality induced by blur. Instead of explicitly simulating the human visual perception of blur, it calculates the local edge blur in a cost-effective way, and applies an adaptive neural network to empirically learn the highly nonlinear relationship between the local values and the overall image quality. Evaluation of the proposed metric using the LIVE blur database shows its high prediction accuracy at a largely reduced computational cost. To further validate the performance of the blur metric on its robustness against different image content, two additional quality perception experiments were conducted: one with highly textured natural images and one with images with an intentionally blurred $background^{1}.$ Experimental results demonstrate that the proposed blur metric is promising for real-world applications both in terms of computational efficiency and practical reliability.
Starting Page	174
Ending Page	179
File Size	1915611
Page Count	6
File Format	PDF
ISBN	9781457700729
e-ISBN	9781457700712
DOI	10.1109/EuVIP.2011.6045525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-04
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Training Image quality Perceived blur Databases Image edge detection Artificial neural networks Image quality assessment Feature extraction Neural network Objective metric Edge
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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