A Color Image Watermarking Scheme Based on Hybrid Classification Method Particle Swarm Optimization and K-Nearest Neighbor Algorithm
Yükleniyor...
Dosyalar
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper a novel robust watermarking technique using particle swarm optimization and k-nearest neighbor algorithm is introduced to protect the intellectual property rights of color images in the spatial domain In the embedding process the color image is separated into non-overlapping blocks and each bit of the binary watermark is embedded into the individual blocks Then in order to extract the embedded watermark features are obtained from watermark embedded blocks using the symmetric cross-shape kernel These features are used to generate two centroids belonging to each binary (1 and 0) value of the watermark implementing particle swarm optimization Subsequently the embedded watermark is extracted by evaluating these centroids utilizing k-nearest neighbor algorithm. According to the test results embedded watermark is extracted successfully even if the watermarked image is exposed to various image processing attacks
Açıklama
Anahtar Kelimeler
Color image watermarking, Robust image watermarking, Particle swarm optimization, K-nearest neighbors
Kaynak
Optics Communications
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
283
Sayı
24
Künye
Fındık, O., Babaoğlu, İ., Ülker, E., (2010). A Color Image Watermarking Scheme Based on Hybrid Classification Method Particle Swarm Optimization and K-Nearest Neighbor Algorithm. Optics Communications, 283(24), 4916-4922. Doi: 10.1016/j.optcom.2010.07.020
