Yüksek boyutlu model gösterilimi kullanarak renkliden gri tonlamaya imge dönüştürme

Ayca Ceylan, Burcu Tunga, Evrim Korkmaz Ozay

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

Color images are converted to grayscale when texture information is needed more than color information when it is desired to reproduce or when it is used for artistic purposes.The methods used to convert color images to grayscale should both produce perceptually acceptable grayscale results and retain as much information as possible about the original color image. In this study, an alternative color-to-grayscale image conversion algorithm has been developed for decolarization using the High Dimensional Model Representation (HDMR) method. In order to evaluate the efficiency of the proposed algorithm, normalized cross correlation, color contrast preservation ratio, E-score and color content fidelity ratio have been used within the scope of standard objective measures.

Tercüme edilen katkı başlığıColor to grayscale image conversion using high dimensional model representation
Orijinal dilTürkçe
Ana bilgisayar yayını başlığıSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665436496
DOI'lar
Yayın durumuYayınlandı - 9 Haz 2021
Etkinlik29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021 - Virtual, Istanbul, Turkey
Süre: 9 Haz 202111 Haz 2021

Yayın serisi

AdıSIU 2021 - 29th IEEE Conference on Signal Processing and Communications Applications, Proceedings

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???event.eventtypes.event.conference???29th IEEE Conference on Signal Processing and Communications Applications, SIU 2021
Ülke/BölgeTurkey
ŞehirVirtual, Istanbul
Periyot9/06/2111/06/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Color-to-gray conversion
  • Decolorization
  • High Dimensional Model Representation

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