Çok Seviyeli DWT Görüntü Damgalamada Çözünürlük ve Damga Gücünün Etkisi

Year 2024, Volume: 12 Issue: 2, 1178 - 1191, 29.04.2024

Hüseyin Bilal Macit

https://doi.org/10.29130/dubited.1246175

Abstract

İnternetin yaygınlaşması ve depolama maliyetlerinin azalması ile çok sayıda medya dijital ortama taşınmıştır. Bu durum, dijital medyaların güvenliğini ve güvenilirliğini azaltmaktadır. Medya üreticileri, fikri mülkiyet haklarının korunması için dijital damgalama yöntemlerini kullanırlar. Bu çalışma, damgalama için frekans dönüşüm yöntemlerinden biri olan dalgacık dönüşümüne odaklanmaktadır. Damgalama işlemi için dalgacık dönüşümü genellikle tek seviyede elde edilen dört alt banttan biri üzerinde uygulanır. Bu çalışmada damgalama işlemi, 1., 2. ve 3. seviye olmak üzere toplam 12 alt bantta gerçekleştirildi. Ayrıca dijital görüntü damgalanması için bir performans değerlendirme metriği sunuldu. Bu değerlendirme 46 farklı çözünürlük üzerinde 10 farklı damga dayanım faktörü kullanılarak uygulandı. Test için Ultra High-definition Demoiréing Dataset kullanıldı. 22080 iterasyon sonucunda elde edilen matematiksel sonuçlar tablo ve grafikler ile gösterildi ve kapak görüntü çözünürlük değeri ile alt-bant arasındaki performans ilişkileri yorumlandı.

Keywords

Dalgacık dönüşümü, Damgalama, Çözünürlük

The Effect of Resolution and Watermark Strength on Multi-level DWT Image Watermarking

Abstract

With the widespread use of the Internet and the decrease in storage costs, many media have been transferred to digital media. This situation reduces the security and reliability of digital media. Media producers use watermarking methods for copyright protection. This study focuses on wavelet transform, which is one of the frequency conversion methods for watermarking. The wavelet transform for the watermarking process is usually applied on one of the four subbands obtained in a single level. In this study, the watermarking process is carried out in a total of 12 sub-bands, including the 1st, 2nd and 3rd levels. In addition, a performance evaluation metric for digital image watermarking is presented. The evaluation is applied using 10 different watermark strength factors on 46 different image resolutions. The Ultra High-definition Demoiréing Dataset is used for testing. The mathematical results obtained as a result of 22080 iterations are shown with tables and graphics, and the performance relations between the cover image resolution value and the sub-band selection are interpreted.

Keywords

Wavelet transform, Watermarking, Resolution

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