A novel watermark embedding and detection scheme for images in DFT domain

Premaratne, Prashan; Ko, Chi Chung

doi:10.1049/cp:19990430

Cited by 32 publications

(17 citation statements)

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“…In order to achieve robustness to JPEG type compression, a watermark (2D Barcode) is inserted into the DC components in the transform domain. We have successfully demonstrated this concept in [2]. Another watermark is then inserted into the low pass wavelet decomposition such that it would be almost impossible to unravel the decomposition depth and the type of wavelet decomposition used as they are unknown to anyone but the author.…”

Section: Where Should the Watermark Lie?mentioning

confidence: 99%

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2D Barcodes as Watermarks in Image Authentication

Premaratne

Safaei

2007

6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)

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Abstract2D barcodes are increasingly used as tags in every type of goods for unique identification. Compared with the 1D barcodes, 2D barcodes not only can carry more data but also can withstand errors in subsequent scans. This property has significant parallels to watermarking logos as such watermarks will withstand multiple manipulations that are common with image transactions. We use a 2D Barcode as the watermark as this has error correction capabilities and show that this can be used to insert data imperceptibly into the host image. One Barcode is inserted into the low frequency component of the image and a second Barcode watermark is embedded into low pass component of any wavelet decomposition at a specific level only known to the author. This improves the resistance of the watermarking scheme to attack. Our experimental results indicate that these invisible watermarks can carry significant information and are robust to many image manipulations. Disciplines Physical Sciences and Mathematics Publication DetailsThis conference paper was originally published as Premaratne, P., Safaei, F., 2D barcodes as watermarks in image authentication, 6th IEEE/ACIS International Conference on Computer and Information Science ICIS 2007, 11-13 Jul, 432-437. This conference paper is available at Research Online: http://ro.uow.edu.au/infopapers/638 2D Barcodes as Watermarks in Image Authentication

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Section: Where Should the Watermark Lie?mentioning

confidence: 99%

“…Hence, many watermarking schemes do trade-off robustness with relatively higher false alarm rates. This paper attempts to combine the versatility of few schemes [2] we have developed so that the combination would be robust to many watermark attacks [3], [4], [5].…”

Section: Introductionmentioning

confidence: 99%

2D Barcodes as Watermarks in Image Authentication

Premaratne

Safaei

2007

6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)

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“…These techniques include discrete cosine transform (DCT) [2,3], discrete Fourier transform (DFT) [4], radon transform [5], discrete wavelet transform (DWT) [6][7][8][9], etc. In these techniques, the watermark is embedded in the transform coefficients of the image.…”

Section: Introductionmentioning

confidence: 99%

A robust embedding and blind extraction of image watermarking based on discrete wavelet transform

Najafi

2017

Math Sci

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In this study, a new algorithm that can be used for copyright protection is proposed for the embedding and detection of a watermark in the domain of discrete wavelet transform (DWT). The elements of the logo watermark are embedded directly to the three-level DWT decomposed subbands. In addition to that, the scheme is considered as a completely blind scheme for both host image and watermark. Two kinds of security attacks have also been considered which confirms the security of the scheme. The experimental results and computer simulation of the proposed scheme have shown that the proposed approach has the desired properties such as invisibility, blind detection, and robustness against various geometrical and non-geometrical attacks.

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“…Based on the above two categories of watermarking schemes, the watermark extraction types can be divided into: watermark decoding [12] for the case of decoding the embedded watermark (i.e., the hidden message) and watermark detection [13][14][15][16] for the case of detecting the presence of a specific watermark. Watermark detection and decoding problems are similar but they are employed for different goals and use different criteria.…”

Section: Introductionmentioning

confidence: 99%

Information hiding techniques for infrared images: exploring the state-of-the art and challenges

et al. 2015

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The proliferation of Infrared technology and imaging systems enables a different perspective to tackle many computer vision problems in defense and security applications. Infrared images are widely used by the law enforcement, Homeland Security and military organizations to achieve a significant advantage or situational awareness, and thus is vital to protect these data against malicious attacks. Concurrently, sophisticated malware are developed which are able to disrupt the security and integrity of these digital media. For instance, illegal distribution and manipulation are possible malicious attacks to the digital objects. In this paper we explore the use of a new layer of defense for the integrity of the infrared images through the aid of information hiding techniques such as watermarking.In this context, we analyze the efficiency of several optimal decoding schemes for the watermark inserted into the Singular Value Decomposition (SVD) domain of the IR images using an additive spread spectrum (SS) embedding framework. In order to use the singular values (SVs) of the IR images with the SS embedding we adopt several restrictions that ensure that the values of the SVs will maintain their statistics. For both the optimal maximum likelihood decoder and sub-optimal decoders we assume that the PDF of SVs can be modeled by the Weibull distribution. Furthermore, we investigate the challenges involved in protecting and assuring the integrity of IR images such as data complexity and the error probability behavior, i.e., the probability of detection and the probability of false detection, for the applied optimal decoders. By taking into account the efficiency and the necessary auxiliary information for decoding the watermark, we discuss the suitable decoder for various operating situations. Experimental results are carried out on a large dataset of IR images to show the imperceptibility and efficiency of the proposed scheme against various attack scenarios.

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A novel watermark embedding and detection scheme for images in DFT domain

Cited by 32 publications

References 1 publication

2D Barcodes as Watermarks in Image Authentication

2D Barcodes as Watermarks in Image Authentication

A robust embedding and blind extraction of image watermarking based on discrete wavelet transform

Information hiding techniques for infrared images: exploring the state-of-the art and challenges

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