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Dayanikli damgalama için kanal güvenilirliǧi kestirimlerine dayah yeni bir gözü kapali sezimleme yöntemi

  • Çaǧatay Karabat*
  • , Mehmet Keskinöz
  • *Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

In literature, diversity and attack characterization based blind watermark detectors are proposed for robust watermarking. These detectors, simultaneously, use the reference watermarks to characterize the watermark channel, and the information watermarks to transmit the hidden information. In this paper, a novel blind watermark detection method is presented to improve performance of diversity and attack characterization based blind watermark detection method used in quantization based watermarking system. In the proposed method, first, the reliabilities of the watermark channels are estimated. Then, channel parameters are found by using the first and second order statististics of the channel reliabilities and hence realiable watermark channels are determined by the proposed thresholding method. Finally, the information watermark is recovered by using estimated information watermarks from the reliable watermark channels. The simulation results demonstrate that the proposed blind detection method is more robust than existing methods that are used in the quantization based watermarking system under various channel distortions.

Tercüme edilen katkı başlığıA new blind detection method based on channel reliability estimates for robust watermarking
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2007 IEEE 15th Signal Processing and Communications Applications, SIU
DOI'lar
Yayın durumuYayınlandı - 2007
Harici olarak yayınlandıEvet
Etkinlik2007 IEEE 15th Signal Processing and Communications Applications, SIU - Eskisehir, Turkey
Süre: 11 Haz 200713 Haz 2007

Yayın serisi

Adı2007 IEEE 15th Signal Processing and Communications Applications, SIU

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???event.eventtypes.event.conference???2007 IEEE 15th Signal Processing and Communications Applications, SIU
Ülke/BölgeTurkey
ŞehirEskisehir
Periyot11/06/0713/06/07

Parmak izi

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