NDLI: Analysis of image informativeness measures

Content Provider	IEEE Xplore Digital Library
Author	Vila, Marius Bardera, Anton Feixas, Miquel Bekaert, Philippe Sbert, Mateu
Copyright Year	2014
Description	Author affiliation: Graphics and Imaging Laboratory, University of Girona, Spain (Vila, Marius; Bardera, Anton; Feixas, Miquel; Sbert, Mateu) \|\| iMinds - Multimedia Technologies Department, Diepenbeek, Belgium (Bekaert, Philippe)
Abstract	Shannon entropy has been commonly used to quantify the image informativeness. The main drawback of this measure is that it does not take into account the spatial distribution of pixels. In this paper, we analyze four information-theoretic measures that overcome this limitation. Three of them (entropy rate, excess entropy, and erasure entropy) consider the image as a stationary stochastic process, while the fourth (partitional information) is based on an information channel between image regions and histogram bins. Experimental results, applied to natural and synthetic images, show the performance of these measures to characterize several informativeness aspects of an image. We also analyze their behavior under some image effects such as blurring, contrast change, and noise.
Starting Page	1086
Ending Page	1090
File Size	286470
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Image resolution Distortion measurement Graphical models Distribution functions Histograms Random variables mutual information Information theory Shannon entropy entropy rate erasure entropy excess entropy
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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