Adjacent-block based statistical detection method for self-embedding watermarking techniques

He, Hongjie; Zhang, Jiashu; Chen, Fan

doi:10.1016/j.sigpro.2009.02.009

Cited by 80 publications

(34 citation statements)

References 11 publications

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“…The PSNR is defined as given by the equation (12). To verify the robustness of any digital watermarking method, Normalized Cross Correlation (NCC) is used, which is defined in the equation (13). Using NCC, the similarity value nearer to 1 is considered as acceptable.…”

Section: Alattar's Methods Of Watermark Insertion and Extractionmentioning

confidence: 99%

A Wavelet Based Digital Watermarking method using Thresholds on Intermediate Bit Values

Perumal¹,

Vijayakumar²

2011

IJCA

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Many researchers are concentrating to provide a high confidentiality and data integrity to protect against unauthorized access. The network security is becoming a very important and crucial aspect as the number of data being exchanged and number of users being communicated on the internet increases rapidly day by day. Therefore confidentiality of users and data integrity are required to protect against unauthorized access. To address the issues of authentication, the present paper proposes a novel wavelet based Digital Watermarking (DW) approach with two steps. In the first step a Threshold, based on Intermediate Bit Values (TIBV) of image pixels is proposed by selecting the image pixel for inserting the watermark. In the second step Alattar"s method is used for inserting the Digital Watermark (DW) bits in the selected pixels of the first step. These two steps make the proposed TIBV-DW method as more effective and difficult to break. To test the efficacy of the proposed TIBV-DW method, various statistical measures by considering combinations of various attacks are evaluated on various experimental images, which indicate high robustness, imperceptibility, un-ambiguity, confidentiality and integrity of the present method.

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Section: Alattar's Methods Of Watermark Insertion and Extractionmentioning

confidence: 99%

A Wavelet Based Digital Watermarking method using Thresholds on Intermediate Bit Values

Perumal¹,

Vijayakumar²

2011

IJCA

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“…Author used statistical detection method for analysis of image authentication and tamper under some content tampering attacks [7].…”

Section: Related Workmentioning

confidence: 99%

Superpixel Segmentation Based Digital Image Watermarking for Color Image Authentication

Jani¹,

Jani²

2017

ijarcs

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With thousands of images piling inside the world serves daily, authentication of any of any image at any given time around the world continues to be an undeniable issue. Mounting rise in data and information exchange, a heavy use of images has become common place. The challenges related to image authentication are increasing at an alarming rate. Digital image segmentations in watermarking has been found to be of good use in improve the performance of image authentication. Undertaken work in this paper compare time duration of segments and block based decomposition, watermark self-embedding, segment level watermark embedding and superpixel SVD based watermark embedding approach for image authentication. With this experiments and analysis, the superpixel based image segmentation with SVD has been applied to retain the quality of image of the embedment of digital watermark with acceptable PSNR value. Also time obtain for segmentation is less compare to block based method. The applied work is likely to have its prospective application in medical image segmentation, copyright protection and in digital forensic image investigation.

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“…Taking into account all adjacent blocks of the test blocks and its mapping block into account, utilized a statistic-based rule to verify the validity of image blocks. [53]  Reduces the probability of false rejection while detecting the altered blocks with a high probability.…”

Section: Acknowledgmentmentioning

confidence: 99%

Detection of Image Tampering over Diverse information Security Schemata: A State-of-the-Art

Pande¹,

Patil²,

Bhattacharya³

2014

IJCA

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Many recent technologies in the field of image processing have necessitated the attention to the field of image forensics. Increase in cyber communication system and availability of advanced digital processing tools, in the past decades has given birth to forgery attempts. Irrespective of various approaches used to protect the Image, proving integrity of the image received in communication is a difficult issue. Under such circumstances, no image can be treated secure against breaches. Moreover, knowledge of the manipulation model is a must for detecting a certain type of tampering.The aim of this paper is to highlight new developments regarding detection of tampering in comparison of various schemata used in the past decades for forgery detection. An assortment of various models used for providing information security to image based on authentication, integrity and confidentiality is presented. Methods of tamper detection have been assessed over the type of attack. An in depth classification of types of image security has been proposed which emphasizes total security issues. The paper puts forward chief developments in schemata of tampering detection. General Terms

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Adjacent-block based statistical detection method for self-embedding watermarking techniques

Cited by 80 publications

References 11 publications

A Wavelet Based Digital Watermarking method using Thresholds on Intermediate Bit Values

A Wavelet Based Digital Watermarking method using Thresholds on Intermediate Bit Values

Superpixel Segmentation Based Digital Image Watermarking for Color Image Authentication

Detection of Image Tampering over Diverse information Security Schemata: A State-of-the-Art

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