DocumentCode
2748434
Title
Adaptive Watermarking Algorithm Based on Perceptual Models
Author
Zhang, Fan ; Zhao, Jianjun ; Zhang, Xinhong
Author_Institution
Inst. of Adv. Control & Intelligent Inf. Process., Henan Univ., Kaifeng
Volume
2
fYear
0
fDate
0-0 0
Firstpage
9757
Lastpage
9760
Abstract
A blind digital watermarking algorithm is presented based on the perceptual models and Hopfield neural network. The Hopfield neural network stores the host image and the original watermark. The noise visibility function (NVF) is used for adaptively watermark embedding. In the watermark extraction, the host image and the original watermark are retrieved by neural network. The experimental results show that this watermarking algorithm has a good preferment
Keywords
Hopfield neural nets; image coding; watermarking; Hopfield neural network; adaptive watermarking; blind detection; blind digital watermarking; image watermarking; noise visibility function; perceptual models; watermark extraction; Acoustic noise; Associative memory; Hamming distance; Hopfield neural networks; Humans; Intelligent control; Neural networks; Neurons; Steganography; Watermarking; Blind detection; Digital watermarking; Neural network; Perceptual models;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1713899
Filename
1713899
Link To Document