A comparative study on chaotic map approaches for transform domain watermarking algorithm

Jane O., Ilk H. G., Elbasi E.

2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015, Prague, Çek Cumhuriyeti, 9 - 11 Temmuz 2015 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/tsp.2015.7296451
  • Basıldığı Şehir: Prague
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Anahtar Kelimeler: Arnold's cat map, asymmetric tent map, discrete wavelet transform, logistic map, lower-and-upper decomposition, singular value decomposition
  • TED Üniversitesi Adresli: Hayır

Özet

Watermarking is identified as a major technology to achieve copyright protection and multimedia security. In this study, combination of Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) via Lower-and-Upper (LU) Decomposition is used as a transform domain watermarking algorithm with a comparative study on chaotic map approaches as Logistic Map (LM), Asymmetric Tent Map (ATM), and Arnold's Cat Map (ACM). As quality metrics, Similarity Ratio (SR) values for ACM are greater by approximately 20% than that of LM and ATM despite nearly same Peak Signal-to-Noise Ratios (PSNRs) after attacks. This study expands the application areas of watermarking with the algorithm consisting DWT, SVD, and LU with chaotic maps together.