2001
DOI: 10.1109/83.918570
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Improved wavelet-based watermarking through pixel-wise masking

Abstract: Abstract-A watermarking algorithm operating in the wavelet domain is presented. Performance improvement with respect to existing algorithms is obtained by means of a new approach to mask the watermark according to the characteristics of the human visual system (HVS). In contrast to conventional methods operating in the wavelet domain, masking is accomplished pixel by pixel by taking into account the texture and the luminance content of all the image subbands. The watermark consists of a pseudorandom sequence w… Show more

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Cited by 828 publications
(476 citation statements)
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References 25 publications
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“…In non-blind extraction, since the original copy of the host image is available as reference, the watermark data is usually embedded by directly altering the magnitude of wavelet coefficients [5][6][7][8][9][10][11][12][13][14][15][16], which can be represented as follows:…”
Section: Watermarking Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…In non-blind extraction, since the original copy of the host image is available as reference, the watermark data is usually embedded by directly altering the magnitude of wavelet coefficients [5][6][7][8][9][10][11][12][13][14][15][16], which can be represented as follows:…”
Section: Watermarking Preliminariesmentioning
confidence: 99%
“…16. For non-blind methods, we also compare the proposed model with another pixel masking model that uses the human visual system aspects for efficient wavelet-based watermarking [9]. For fair comparison, we use the same coefficient modification method for obtaining the results shown in all three plots in these figures.…”
Section: Performance Evaluationmentioning
confidence: 99%
“…where N is the image width, M is the image height, I is the possibly watermarked image and w is the watermark sequence [22]. This correlation value is compared to a suitably selected threshold T and if the value of the correlation is greater than the threshold positive detection of the watermark is assumed.…”
Section: Watermark Embedding and Detectionmentioning
confidence: 99%
“…The use of perceptual shaping in data hiding improves performance in terms of lower perceptual distortion for fixed payload and robustness [2], [3]. This performance is due to the incorporation of how the human visual system processes visual stimuli by exploiting the image statistics.…”
Section: Introductionmentioning
confidence: 99%
“…They determined an upper bound for the quantization stepsize to remain imperceptible. Their ideas were adopted by Barni et al [3] in image-adaptive spread spectrum data hiding. Solanki et al [2] on the other hand presented an approach which was far less complex and tuned for JPEG compression.…”
Section: Introductionmentioning
confidence: 99%