Identification of image source using serial-number-based watermarking under Compressive Sensing conditions

Draganic, Andjela; Maric, Milan; Orović, Irena; Stanković, Srdjan

doi:10.23919/mipro.2017.7973611

Cited by 10 publications

(8 citation statements)

References 19 publications

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“…Andjela Draganić, et.al. (2017) [8] This paper proposes a framework for the recognizing evidence of the photo source and substance by using the Public Key Cryptography Signature (PKCS). The methodology depends on the PKCS watermarking of the pictures caught with various programmed watching cameras in the Trap View cloud framework.…”

Section: Literature Survey Vmentioning

confidence: 99%

An Improved Method 2-RDWT-SVD using Arnold Transform based Digital Watermarking

Garg¹

2018

IJRASET

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This paper incorporate the detail investigation of Digital watermarking (DW) clarification, idea and the primary commitments in this field, for example, classes of watermarking process that tell which watermarking strategy ought to be utilized. It begins with diagram, characterization, highlights, structure, systems, application, challenges, confinements, quality execution and execution metric of watermarking and a fit examination of some major watermarking procedures. In this paper an image watermarking techniques based on 2-RDWT-SVD a gray scale improved Arnold transform scrambled watermarking image data is embedded into gray scale host image is proposed. The performance of scrambling algorithm and security of the image is improved by using various transform coefficients.

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Section: Literature Survey Vmentioning

confidence: 99%

An Improved Method 2-RDWT-SVD using Arnold Transform based Digital Watermarking

Garg¹

2018

IJRASET

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“…Also, the procedure is examined beneath numerous assaults and suggests a success identification of possession. [8] In this paper, a singular adaptive DIW model based totally on modified FCM clustering is proposed. For watermark embedding system, we used DWT.…”

Section: Literature Review Mohammad Rasool Mirzaei Etal (2017)mentioning

confidence: 99%

LSB and DES based Quad Tree Digital Watermarking

Upadhyay

Tiwari

2018

IJARCSSE

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Digital watermarking technology is being adopted to make certain and facilitate records authentication, safety and copyright protection of virtual media. It is taken into consideration as the maximum important era in these day’s world, to save you unlawful copying of information. Digital watermarking can be getting to audio, video, textual content or pictures. In this paper present the quad tree decomposition of cover picture consequences in variable sized square blocks. The presented approach adaptively determines locations within variable sized quad tree blocks in a cover image for embedding the secret text. The number of blocks obtained for a cover image is controlled using a threshold and a minimum block size.

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“…Andjela Draganić, et.al. (2017) [6] This paper proposes a system for the recognizing confirmation of the photo source and substance by using the Public Key Cryptography Signature (PKCS). The strategy depends on the PKCS watermarking of the pictures caught with various programmed watching cameras in the Trap View cloud framework.…”

Section: Literature Surveymentioning

confidence: 99%

Improved 4-Level Discrete Wavelet Transform Using Digital Watermarking

Singh

2018

ijarcs

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Watermarking is a branch of data hiding which is utilized to shroud restrictive data in digital media like images, digital, or video. The simplicity with which computerized substance can be traded over the web has made copyright infringement issues. In this paper we examine about the watermarking of a fingerprinting to keep the fraud clients away and furthermore talk about the idea of a watermarking. What's more, to ascertain the outcome investigation of a DWT based for an installing and separating process. The experimental outcomes to demonstrate that the proposed method effectively survives picture handling operations, 4-level DWT. We extract the authentic embedded watermark (EW) picture from all bands and compare them on the basis of their mean square error (MSE) and Peak Signal Noise Ratio (PSNR) parameters. Then calculate the MSE of embedded image and PSNR and calculates the BER of embedded image. In this approach, we try to recover original WI from attacked WI

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Identification of image source using serial-number-based watermarking under Compressive Sensing conditions

Cited by 10 publications

References 19 publications

An Improved Method 2-RDWT-SVD using Arnold Transform based Digital Watermarking

An Improved Method 2-RDWT-SVD using Arnold Transform based Digital Watermarking

LSB and DES based Quad Tree Digital Watermarking

Improved 4-Level Discrete Wavelet Transform Using Digital Watermarking

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