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Improved Data Embedding Method for Digital Image with Human Visual Systems
Author(s) -
Fujii Atsuhiro,
Nakamoto Masayoshi,
Muneyasu Mitsuji,
Ohno Shuichi
Publication year - 2014
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11597
Subject(s) - embedding , digital watermarking , watermark , discrete wavelet transform , artificial intelligence , human visual system model , signal (programming language) , mathematics , image (mathematics) , computer science , computer vision , wavelet , wavelet transform , algorithm , programming language
SUMMARY In this paper, we consider a data‐embedding method in the discrete wavelet transform (DWT) domain of digital images. A bit pattern embedding method with the human visual system (HVS) and correlation‐based detection have been proposed by Kino and Wada based on the watermarking scheme, which is referred to as the conventional method. In the conventional method, the capacity of embedding data depends on the potential correlation between the DWT coefficients of the host image and the watermark signal. We propose a new embedding and detection algorithm not affected by the potential correlation in order to increase the capacity of embedding data. The data‐embedding and detection in the proposed method are performed by considering the absolute value of the correlation between the watermarked DWT coefficients and the watermark signal. In simulations, we show that the capacity of the embedding data in the proposed method is increased compared with the conventional method at the same PSNR value (image quality).