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Information Entropy Measure for Evaluation of Image Quality [PDF]
Journal of Digital Imaging, 2007 This paper presents a simple and straightforward method for synthetically evaluating digital radiographic images by a single parameter in terms of transmitted information (TI). The features of our proposed method are (1) simplicity of computation, (2) simplicity of experimentation, and (3) combined assessment of image noise and resolution (blur).
Du-Yih Tsai, Yongbum Lee, Eri Matsuyama
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The Information Loss of a Stochastic Map
Entropy, 2021 We provide a stochastic extension of the Baez–Fritz–Leinster characterization of the Shannon information loss associated with a measure-preserving function. This recovers the conditional entropy and a closely related information-theoretic measure that we
James Fullwood, Arthur J. Parzygnat
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Entropy Measures of Probabilistic Linguistic Term Sets
International Journal of Computational Intelligence Systems, 2018 The probabilistic linguistic term sets (PLTSs) are powerful to deal with the hesitant linguistic situation in which each provided linguistic term has a probability.
Hongbin Liu, Le Jiang, Zeshui Xu
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Information Entropy as a Reliable Measure of Nanoparticle Dispersity [PDF]
Chemistry of Materials, 2020 Nanoparticle size impacts properties vital to applications ranging from drug delivery to diagnostics and catalysis. As such, evaluating nanoparticle size dispersity is of fundamental importance. Conventional approaches, such as standard deviation, usually require the nanoparticle population to follow a known distribution and are illequipped to deal ...
Niamh Mac Fhionnlaoich, Stefan Guldin
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Tsallis Mutual Information for Document Classification
Entropy, 2011 Mutual information is one of the mostly used measures for evaluating image similarity. In this paper, we investigate the application of three different Tsallis-based generalizations of mutual information to analyze the similarity between scanned ...
Màrius Vila +3 more
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Alternative Entropy Measures and Generalized Khinchin–Shannon Inequalities
Entropy, 2021 The Khinchin–Shannon generalized inequalities for entropy measures in Information Theory, are a paradigm which can be used to test the Synergy of the distributions of probabilities of occurrence in physical systems.
Rubem P. Mondaini +1 more
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An entropy-based measure of founder informativeness
Genetical Research, 2005 Optimizing quantitative trait locus (QTL) mapping experiments requires a generalized measure of marker informativeness because variable information is obtained from different marker systems, marker distribution and pedigree types. Such a measure can be derived from the concept of Shannon entropy, a central concept in information theory.
M Humberto, Reyes-Valdés +1 more
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Information and Divergence Measures
Entropy, 2023 The present Special Issue of Entropy, entitled Information and Divergence Measures, covers various aspects and applications in the general area of Information and Divergence Measures [...]
Alex Karagrigoriou, Andreas Makrides
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On using Shannon entropy measure for formulating new weighted exponential distribution
Journal of Taibah University for Science, 2022 In this article, a new class of weighted exponential distribution called Entropy-Based Exponential weighted distribution (EBEWD) is proposed. The main idea of the new lifetime distribution is in using the Shannon entropy measure as a weighted function ...
Amjad D. Al-Nasser +2 more
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Information Distances versus Entropy Metric
Entropy, 2017 Information distance has become an important tool in a wide variety of applications. Various types of information distance have been made over the years.
Bo Hu, Lvqing Bi, Songsong Dai
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