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An axiomatic approach to measuring of information of sign-based image representations

  • Pattern Recognition and Image Processing
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Journal of Computer and Systems Sciences International Aims and scope

Abstract

A sign-based image representation is introduced and its main properties are investigated. In particular, the problem of measuring information of sign-based representations is discussed. For this purpose, axiomatic measures of information of images and their sign-based representations are introduced. It is shown that these measures are very close in properties to the Shannon entropy. The paper also contains results of calculating the values of the information measures introduced for synthetic and real images.

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Authors and Affiliations

  1. Taganrog Technological Institute of Southern Federal University, Nekrasovskii per. 44, Taganrog, Rostov Region, 347928, Russia

    A. G. Bronevich & A. V. Goncharov

Authors
  1. A. G. Bronevich
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  2. A. V. Goncharov
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Additional information

Original Russian Text © A.G. Bronevich, A.V. Goncharov, 2011, published in Izvestiya Akademii Nauk. Teoriya i Sistemy Upravleniya, 2011, No. 1, pp. 54–69.

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Bronevich, A.G., Goncharov, A.V. An axiomatic approach to measuring of information of sign-based image representations. J. Comput. Syst. Sci. Int. 50, 51–66 (2011). https://doi.org/10.1134/S1064230710061012

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  • DOI: https://doi.org/10.1134/S1064230710061012

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