A proposed secure multiple watermarking technique based on DWT, DCT and SVD for application in medicine

Zear, Aditi; Singh, Amit Kumar; Kumar, Pardeep

doi:10.1007/s11042-016-3862-8

Cited by 240 publications

(114 citation statements)

References 36 publications

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“…The blind digital image watermarking technique uses discrete wavelet transformation (DWT) to locate the suitable area to embed watermark with a predefined block of binary digit sequences. And this image once again embedded into another image using non-blind watermarking technique using DWT and singular value decomposition (SVD) [12] [18]. During the retrieval process, first nonblind technique and then blind technique are used.…”

Section: Related Workmentioning

confidence: 99%

“…The m columns of U and the n columns of V are called the left singular vectors and right singular vectors of A, respectively. In singular value decomposition of an image, each singular value represents the luminance of image layer and the corresponding pair of the singular vector represents the geometry of the image layer [12] [18]. The singular values in a digital image are less affected by general image processing operations because the bigger singular values preserve most energy of an image and resist against attacks.…”

Section: E U and V Are Orthogonal)mentioning

confidence: 99%

“…A common method is to apply SVD to the entire cover image and to modify all the singular values to embed the watermark. But by applying SVD on DWT transformed sub-band images will improve robustness, because the important property of SVD based watermarking is that the modified singular values of an image will change by very small values for different types of attacks [12] [18]. The contents of these matrices are computationally stable and hence these are used in connection with DWT for more robustness.…”

Section: E U and V Are Orthogonal)mentioning

confidence: 99%

“…Then by using a secret key, the secret binary image can be extracted as it is. The major disadvantage of using SVD and in connection with nonblind technique is the production of false positive/negative error [18]. The root cause of the falsepositive/negative problem is that the SVD vectors U and V influence the watermark being extracted from the watermarked image [12] [18][20] [21].…”

Section: Analysis Of Securitymentioning

confidence: 99%

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Serial Digital Color Image Watermarking using Composite Scheme

Savakar¹,

Ghuli²

2017

IJIGSP

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Abstract-Digital watermarking is one of the ways to have Copyright protection for digital information. The digital watermarking scheme used for watermark embedding has to satisfy robustness property to ensure the security of the secret information hidden. The scheme presented here will support the above said statement significantly. We propose here the scheme as composition of both blind and non-blind digital watermarking technique in a process of serial watermarking. A secret binary image is embedded in the first cover image to get first watermarked image by using blind watermarking technique. Then this first watermarked image is again embedded into second cover image to get serial watermarked image using non-blind watermarking technique. To extract secret binary image, first non-blind watermark extraction technique and then blind watermark extraction techniques are used. From this composite approach and serial watermark embedding procedure, we achieved considerable fidelity and robustness against -Rotation, JPEG compression and for noises Salt & pepper, Gaussian, Speckle, Poisson and multiple noises.Index Terms-Composite scheme, Serial watermarking, First cover image, Second cover image, Serial watermarked image, Blind, Type-II Non-blind.

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Section: Related Workmentioning

confidence: 99%

Section: E U and V Are Orthogonal)mentioning

confidence: 99%

Section: E U and V Are Orthogonal)mentioning

confidence: 99%

Section: Analysis Of Securitymentioning

confidence: 99%

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Serial Digital Color Image Watermarking using Composite Scheme

Savakar¹,

Ghuli²

2017

IJIGSP

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“…The experimental results show that this contribution gives an excellent performance in terms of robustness and imperceptibility. In [3], the authors present a secure multiple watermarking technique based on the combination of DWT, DCT, and SVD for medical images. This proposed method uses three watermarks, one medical image and two text watermarks.…”

Section: Introductionmentioning

confidence: 99%

Robust Multiple Watermarking Technique for Medical Applications using DWT, DCT and SVD

Assini

Badri

Safi

et al. 2017

TMLAI

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The security of medical data plays an important role in preserving their integrity and confidentiality. This paper presents a robust multiple watermarking algorithm based on a combination of discrete wavelet transform (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD).In this proposed method, we have inserted three watermark images (a patient image, a doctor image and a fingerprint of the patient) into a single cover medical image. In the insertion phase, the original image is decomposed into the third level of DWT, and then the DCT and SVD transforms are applied on the selected sub bands (HH1, HH2, and HH3). The first watermark goes through the same steps that the original image. Moreover, the second and the third watermarks are decomposed until the second level and the first level by DWT respectively and subsequently transformed by SVD. The singular values of the three watermarks are inserted into the singular values of the original image. The experimental results show that the proposed method gives better performance in terms of capacity, quality and robustness against various attacks compared to other reported techniques.

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SPIHT‐based multiple image watermarking in NSCT domain

Kumar

Singh

Kumar

et al. 2018

Concurrency and Computation

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Image watermarking in wavelet domain is a challenging problem as it includes a proper selection of wavelet transforms as well as sub-bands for accurate embedding and recovery of watermarks.However, selection of a suitable wavelet transform for multiple image watermarking is an area of great interest. Therefore, in this work, a multiple watermarking technique using combination of redundant discrete wavelet transforms (RDWT), non-subsampled contourlet transform (NSCT), set partitioning in hierarchical tree (SPIHT), and singular value decomposition (SVD) is proposed. The proposed scheme is aimed to achieve high capacity, robustness, and imperceptibility. The security aspect of the proposed method is enhanced by using Arnold transform. Since RDWT and NSCT are both shift invariant in nature, therefore they are suitable for multiple image watermarking. Furthermore, the proposed method provides flexibility in selection of appropriate sub-bands for watermark embedding and recovery. Experimental results and analysis reveals that the proposed technique gives maximum PSNR, NC, and SSIM value up to 40.97 dB, 1, and 0.9994, respectively. Furthermore, the performance estimation of our technique is found superior to previously reported techniques under consideration. KEYWORDSArnold transform, non-sub sampled contourlet transform, RDWT, SPIHT, SVD INTRODUCTIONRecently, secure transmission of digital data over open/public networks is one of potential challenges. 1 Therefore, there is a great requirement to secure the data transmission over networks. Digital image watermarking is one of promising method for protecting digital data and is widely used for copyright protection and secure communication. 2-4 Image watermarking provides secure transmission of digital data by embedding it into the cover image for content authentications, copyright protection, 5 etc.Discrete wavelet transform (DWT) has been widely used for image watermarking. 6 However, the major drawbacks associated with the DWT are its shift sensitivity and poor directionality that can be avoided by using redundant wavelet transforms. 7 The existing literatures over image watermarking clearly states that the redundant wavelet transforms are suitable for single and multiple images watermarking 7-10 as these transforms do not use down sampling operation in implementation. Thus, no data/information loss occurs during forward and inverse transformation. Furthermore, redundant discrete wavelet transform (RDWT) 11 and non-subsampled contourlet transform (NSCT) 12 are shift invariant. This property enables us to have better reconstruction of images and found useful in many image processing applications. Furthermore, NSCT provides rich directional information, which can be used in embedding single as well as multiple watermarks after forward transformation. 12 It is evident that the performance of combined transform domain techniques (two or more than two) is better than individual one. 7 Thus, being motivated by above facts, an image watermarking technique in NSCT domain using...

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A proposed secure multiple watermarking technique based on DWT, DCT and SVD for application in medicine

Cited by 240 publications

References 36 publications

Serial Digital Color Image Watermarking using Composite Scheme

Serial Digital Color Image Watermarking using Composite Scheme

Robust Multiple Watermarking Technique for Medical Applications using DWT, DCT and SVD

SPIHT‐based multiple image watermarking in NSCT domain

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