Contourlet-based image adaptive watermarking

Song, Haohao; Yu, Songyu; Yang, Xiaokang; Song, Li; Wang, Chen

doi:10.1016/j.image.2008.01.005

Cited by 48 publications

(33 citation statements)

References 14 publications

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“…The minimal and maximal valueŝm in ( , ) and max ( , ) are calculated through (15) and (16), respectively:…”

Section: Discrete Algorithm Of the Luminance-brightness Map Formentioning

confidence: 99%

“…Finally, the use of Contourlet transform was proposed in [15], using some ideas of Barni algorithm. The watermarked image has a PSNR = 36.65 dB, which is lower than in our method.…”

Section: Comparison With Other Watermark Algorithmsmentioning

confidence: 99%

“…The watermarked image has a PSNR = 36.65 dB, which is lower than in our method. Moreover, the author of [15] reports that his method could detect the watermark when attacked by different types of processing, such as median filtered (3×3 and 5×5); filtered Gaussian (3 × 3 and 5 × 5); JPEG compression with quality factors 75, 50, and 5; Gaussian; and salt and pepper noise, as well as cropping. It is clear that our method outperforms these results.…”

Section: Comparison With Other Watermark Algorithmsmentioning

confidence: 99%

“…Some models use the HVS characteristics in order to obtain good results of imperceptibility and robustness, taking advantage of the sensitivity of frequency, luminance, and masking contrast. The watermark that exploits the perceptual information is named a perceptual watermark [9,10,[13][14][15]. Transform domain techniques that use perceptual masks based on HVS properties have proved to be more robust since they resist geometric and filter attacks.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

Escalante-Ramı́rez

Gomez-Coronel

2018

Mathematical Problems in Engineering

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This work presents a watermarking technique in digital images using a brightness model and the Hermite Transform (HT). The HT is an image representation model that incorporates important properties of the Human Vision System (HVS), such as the analysis of local orientation, and the model of Gaussian derivatives of early vision. The proposed watermarking scheme is based on a perceptive model that takes advantage of the masking characteristics of the HVS, thus allowing the generation of a watermark that cannot be detected by a human observer. The mask is constructed using a brightness model that exploits the limited sensibility of the human visual system for noise detection in areas of high or low brightness. Experimental results show the imperceptibility of the watermark and the fact that the proposed algorithm is robust to most common processing attacks. For the case of geometric distortions, an image normalization stage is carried out prior to the watermarking.

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“…The minimal and maximal valueŝm in ( , ) and max ( , ) are calculated through (15) and (16), respectively:…”

Section: Discrete Algorithm Of the Luminance-brightness Map Formentioning

confidence: 99%

“…Finally, the use of Contourlet transform was proposed in [15], using some ideas of Barni algorithm. The watermarked image has a PSNR = 36.65 dB, which is lower than in our method.…”

Section: Comparison With Other Watermark Algorithmsmentioning

confidence: 99%

Section: Comparison With Other Watermark Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

Escalante-Ramı́rez

Gomez-Coronel

2018

Mathematical Problems in Engineering

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show abstract

“…Compared with the limitations of the conventional multiresolution image representations, the contourlet transform can efficiently capture the intrinsic geometrical structure of image which is key in visual information and can be utilized to complement the current watermarking techniques. Several existing schemes such as in [8] [9][10] [12] have been proposed in contourlet domain. In addition to direct work on watermarking, [11] proposed a method for extracting the significant features of an image from the contourlet coefficients to generate authentication signatures.…”

Section: Introductionmentioning

confidence: 99%

An Oblivious Watermarking Scheme Based on Coutourlet Transform and Quantization Index Modulus Modulation

Chen¹,

Zhou²

2008

IJIES

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This paper presents an oblivious watermarking scheme based on contourlet transform and quantization index modulus modulation (QIMM).The scheme has the following features. First, the proposed scheme makes better use of multidirectional characteristic of contourlet transform and embed the watermark into the 4 directional high pass sub bands. Second, the scheme avoids the problem of selection of wavelet filter banks since approximately the same results are obtained with different contourlet filter banks in watermark embedding and extracting stage. Third, unlike the conventional watermarking schemes, watermark error correction is integrated to enhance the quality and normalized cross correlation (NC) value of the extracted watermark. Fourth, through the introduction of the error correction, the proposed scheme tries to view NC as a standard to judge the watermarking algorithm. As a comparison, experiments are conducted to demonstrate that our scheme is more effective than the former one based on lifting scheme wavelet transform.

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Image forgery detection in contourlet transform domain based on new chaotic cellular automata

Barani

Ayubi

Jalili

et al. 2015

Security Comm Networks

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Image authentication includes techniques that detect unauthorized changes in digital pictures. Image authentication is generally categorized into two primary categories, active and passive methods. In this paper, a new active image authentication method is proposed for tamper detection based on contourlet transform. Cellular automata and ‘Game of Life’ are also used to improve the detection of tampered area. A pseudo‐random number generator based on cellular automata has been used to improve security of proposed technique. We evaluates security and randomness of proposed pseudo‐random number generator using by NIST statistical test suite. Experimental results show that the proposed method is sensitive to any tampers, and it can detect forged areas of the images. Visual quality of image after embedding process is desirable due to Peak Signal‐to‐Noise Ratio (PSNR) measure. Copyright © 2015 John Wiley & Sons, Ltd.

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Contourlet-based image adaptive watermarking

Cited by 48 publications

References 14 publications

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

A Perceptive Approach to Digital Image Watermarking Using a Brightness Model and the Hermite Transform

An Oblivious Watermarking Scheme Based on Coutourlet Transform and Quantization Index Modulus Modulation

Image forgery detection in contourlet transform domain based on new chaotic cellular automata

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