An Adaptive Wavelet-Based Watermarking Using Shift-Orthogonal Finite-Length Sequences
نویسندگان
چکیده
This paper presents an adaptive wavelet-based image-watermarking scheme embedding shift-orthogonal finite-length sequences. This sequence has the characteristics of shift-orthogonality and mean 0, variance 1. The security of this sequence is higher than pseudo random sequence because of the parameters used to generate the sequence. Watermark embedding is based on the characteristics of the human visual system (HVS). In the process of watermark detection the normalized correlation function is used. The experimental results show that the proposed watermarking scheme is perceptual invisible and robust against attacks such as JPEG compression,additive noise, filtering and cropping. Key-Word: Image watermarking, Wavelet transform, Shift-orthogonal finite-length sequences, Correlation detection, HVS model.
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