Robust image watermarking using multiresolution analysis

Maity, Santi P.; Nandy, Preetam; Das, Tirtha Sankar; Kundu, Malay K.

doi:10.1109/indico.2004.1497732

Cited by 11 publications

(13 citation statements)

References 11 publications

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“…1. For evaluating watermark-removing algorithm's efficiency, we adopt watermarking algorithms that are proposed by Cox [6], Huang [7], Maity [8] and Lee [9]. For Cox and Huang, they embeds original watermark in DCTdomain of AC and DC band, respectively.…”

Section: Resultsmentioning

confidence: 99%

A New Watermark Attacking Method Based on Eigen-Image Energy

Hsu

Hsieh

2008

2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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On the basis of the energy distribution of eigenimages of an image, a new watermark attacking method is proposed. For most removal attacking methods, they regard watermark as noise and adopt denoising methods to remove watermark. However, when the energy of watermark is removed from a watermarked image, the energy of the original image is also removed at the same time. To solve this problem, we predict the watermark energy using just-noticeabledistortion (JND). Then remove watermark energy from watermarked image based on the characteristic of eigen-images. From the experiment results, the proposed method is a very effective watermark attacking method.

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Section: Resultsmentioning

confidence: 99%

A New Watermark Attacking Method Based on Eigen-Image Energy

Hsu

Hsieh

2008

2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing

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“…The present study uses Mean-Structure-Similarity-Index-Measure (MSSIM) [33] and Peak-Signal-to-Noise-Ratio (PSNR) as distortion measures for the watermarked image. On the other hand, the relative entropy distance (Kullback Leibler distance (KLD)) [3] is used to quantify the security (K) of the proposed scheme. The large Peak-Signal-to-Noise-Ratio (PSNR) and Mean-Structure-Similarity-Index-Measure (MSSIM) values and low-security values of the watermarked medical image represent better imperceptibility and security of the hidden data, respectively [34].…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The watermark can be embedded in the spatial domain or frequency domain depending on the desired application. It is seen that the frequency domain methods are more robust than the spatial domain techniques [3].…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding for DICOM Image Using Lifting and Companding

Phadikar

Jana²,

Mandal

2019

Cryptography

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In this work, a reversible watermarking technique is proposed for DICOM (Digital Imaging and Communications in Medicine) image that offers high embedding capacity (payload), security and fidelity of the watermarked image. The goal is achieved by embedding watermark based on companding in lifting based discrete wavelet transform (DWT) domain. In the embedding process, the companding technique is used to increase the data hiding capacity. On the other hand, a simple linear function is used in companding to make the scheme easy to implement, and content dependant watermark is used to make the scheme robust to collusion operation. Moreover, unlike previously proposed reversible watermarking techniques, this novel approach does not embed the location map in the host image that ultimately helps to achieve high fidelity of the watermarked image. The advantage of the proposed scheme is demonstrated by simulation results and also compared with selected other related schemes.

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“…The Kullback-Leibler distance D(p || q) is defined as (Maity et al, 2004): The function ( , ), ( , ) and ( , ) l P P c P P s P P are the luminance comparison, contrast comparison and structure comparison function, respectively.…”

Section: Ssim P P L P P C P P S P Pmentioning

confidence: 99%

“…as distortion measure for the watermarked image, where as relative entropy distance (Kulback Leibler distance)(Maity et al, 2004) is used as measure of security (ε) of hidden data. The high PSNR (dB) and MSSIM values of the watermarked images and low security values indicate better imperceptibility and security of the hidden data, respectively.…”

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confidence: 99%

Reversible watermarking using channel coding and lifting for cultural heritage and medical image

Phadikar

Jana

Phadikar

et al. 2016

IJICS

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Reversible data embedding has drawn lots of interest recently, specially in the field of protection for cultural heritage and medical image. Being reversible, the original digital content can be completely restored. This paper uses Tian's algorithm of difference expansion as reversible watermarking scheme for the protection of cultural heritage and medical image. Lifting together with channel coding is used to increase the detection performance of extracted watermark bits. Experimental results and performance comparison with other reversible data hiding schemes are presented to demonstrate the validity of the proposed algorithm.

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Robust image watermarking using multiresolution analysis

Cited by 11 publications

References 11 publications

A New Watermark Attacking Method Based on Eigen-Image Energy

A New Watermark Attacking Method Based on Eigen-Image Energy

Reversible Data Hiding for DICOM Image Using Lifting and Companding

Reversible watermarking using channel coding and lifting for cultural heritage and medical image

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