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
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713899
