Jensen-discrete information generating function with an application to image processing

Kharazmi O., Balakrishnan N., ÖZONUR D.

Soft Computing, cilt.27, sa.8, ss.4543-4552, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 8
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s00500-023-07863-0
  • Dergi Adı: Soft Computing
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC, zbMATH
  • Sayfa Sayıları: ss.4543-4552
  • Anahtar Kelimeler: Information generating function, Shannon entropy, Jensen-Shannon entropy, Gini entropy, Extropy, Image processing
  • Gazi Üniversitesi Adresli: Evet

Özet

© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.In this work, we first consider the discrete version of information generating function and develop some new results for it. We then propose Jensen-discrete information generating (JDIG) function as a generalized measure, which is connected to Shannon entropy, fractional Shannon entropy, Gini–Simpson index (Gini entropy), extropy, Jensen–Shannon entropy, Jensen–Gini–Simpson index and Jensen-extropy measures. Finally, for illustrative purpose, we use a real example from image processing and provide some numerical results in terms of the Jensen-discrete information generating function and demonstrate that the JDIG measure introduced here is an useful criteria for measuring similarity between two images.