Hybrid NSCT domain multiple watermarking for medical images

Singh, Sadhna; Rathore, Vivek Singh; Singh, Rajiv

doi:10.1007/s11042-016-3885-1

Cited by 35 publications

(32 citation statements)

References 34 publications

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“…Moreover, the proposed technique is robust to histogram equalization and outperforms the schemes in [15], [20], [21], [22] and [23].…”

Section: Robustnessmentioning

confidence: 95%

“…The watermark embedding is performed by inserting the singular value of watermark image in the singular value of the original image. In [23], an hybrid image watermarking technique based on Nonsubsampled contourlet transform(NSCT), Multiresolution Singular value decomposition (MSVD), discrete cosine transform (DCT) and Arnold transform is proposed. In this method, three image watermarks have been added into the cover image exploiting the advantages of combining these transforms to enhance robustness, capacity and imperceptibility requirements.…”

Section: Related Workmentioning

confidence: 99%

“…By increasing the compression ratio, the NC values decreases slightly but the results are still encouraging (NC= 0.9 when CR= 10). Afterwards, we compare the proposed method to [14], [15], [20] , [21], [22] and [23]. [38] and five natural images, respectively.…”

Section: Compression Attackmentioning

confidence: 99%

“…To evaluate the proposed scheme, we compare its DFT counterpart in terms of imperceptibility and robustness. Furthermore, comparative experiments are performed with alternative methods presented in [14], [15], [20], [21], [22] and [23].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hamidi

Haziti

Cherifi

et al. 2018

Multimed Tools Appl

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In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by applying Arnold transform (AT) to the watermark before embedding. Experiments were conducted on natural and textured images. Results show that, compared with state-of-the-art methods, the proposed method is robust to a wide range of attacks while preserving high imperceptibility.

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“…Moreover, the proposed technique is robust to histogram equalization and outperforms the schemes in [15], [20], [21], [22] and [23].…”

Section: Robustnessmentioning

confidence: 95%

Section: Related Workmentioning

confidence: 99%

Section: Compression Attackmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hamidi

Haziti

Cherifi

et al. 2018

Multimed Tools Appl

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“…In [4], the authors proposed a hybrid technique for medical images based on Non sub sampled contourlet transform (NSCT) which combines discrete cosine transform (DCT), Multiresolution Singular value decomposition(MSVD) and Arnold transform. Three watermarks (two images and text watermark) are embedded into a single cover medical image.…”

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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Hybrid NSCT domain multiple watermarking for medical images

Cited by 35 publications

References 34 publications

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

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

SPIHT‐based multiple image watermarking in NSCT domain

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