Choice of Wavelet from Wavelet Families for DWT-DCT-SVD Image Watermarking

Singh, Aheibam Dinamani; Tayal, Akash

doi:10.5120/7439-0375

Cited by 12 publications

(14 citation statements)

References 22 publications

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“…However, the NC value obtained with proposed method is 0.9752, 0.9754 and 0.9208 against the same attacks respectively. Overall, the performance of the proposed method is better than the other reported technique [29,34,36] in terms of robustness, capacity and security. Finally, quality of the watermarked image has been measured by the subjective method [24].…”

Section: Extraction Algorithm For Text Watermarkmentioning

confidence: 53%

“…The simultaneous multiple watermarking embedding method has fewer constraints than the other multiple watermarks embedding methods [33]. 2) Improved robustness performance: In Table 5, The robustness of proposed method is compared with other reported techniques [29,34,36] and it is found that the proposed method offers superior performance 3) Enhance the Security: Security of the medical text watermark may be enhanced by using simple encryption method to save execution time. For telediagnosis, the encryption and decryption speed has become an important factor if the situation demands.…”

Section: Introductionmentioning

confidence: 92%

“…Consequently, many other image watermarking techniques combining three transform methods have been proposed [1,4,5,8,9,16,20,23,34,36,39]. For a detailed description on these combined approaches, interested readers may directly refer to them.…”

Section: Introductionmentioning

confidence: 99%

“…1) Capacity of embedding multiple watermark: The method proposed in [1,4,5,8,9,16,20,23,34,36,39] has been embedded only one watermark. However, in the proposed method multiple watermarks (text and image) are embedded simultaneously, which provides extra level of security with acceptable performance in terms of robustness and imperceptibility.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Hybrid technique for robust and imperceptible multiple watermarking using medical images

Singh

Dave

Mohan

2015

Multimed Tools Appl

156

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This paper presents a secure multiple watermarking method based on discrete wavelet transform (DWT), discrete cosine transforms (DCT) and singular value decomposition (SVD). For identity authentication purpose, the proposed method uses medical image as the image watermark, and the personal and medical record of the patient as the text watermark. In the embedding process, the cover medical image is decomposed up to second level of DWT coefficients. Low frequency band (LL) of the host medical image is transformed by DCT and SVD. The watermark medical image is also transformed by DCT and SVD. The singular value of watermark image is embedded in the singular value of the host image. Furthermore, the text watermark is embedding at the second level of the high frequency band (HH) of the host image. In order to enhance the security of the text watermark, encryption is applied to the ASCII representation of the text watermark before embedding. Results are obtained by varying the gain factor, size of the text watermark, and medical image modalities. Experimental results are provided to illustrate that the proposed method is able to withstand a variety of signal processing attacks such as JPEG, Gaussian, Salt-and-Pepper, Histogram equalization etc. The performance of the proposed technique is also evaluated by using the benchmark software Checkmark and the technique is found to be robust against the Checkmark attacks such as Collage, Trimmed Mean, Hard and Soft Thresholding, Wavelet Compression, Mid Point, Projective, and Wrap etc. Multimed Tools Appl

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Section: Extraction Algorithm For Text Watermarkmentioning

confidence: 53%

Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid technique for robust and imperceptible multiple watermarking using medical images

Singh

Dave

Mohan

2015

Multimed Tools Appl

156

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“…Table 1 shows that compared with other robust watermarking algorithms based on DCT [19,20], our method has better robustness. Table 1 shows that in normal noise environments, the watermark obtained by our method is more robust than state-of-the-art alternatives.…”

Section: Candidated Imagementioning

confidence: 97%

A Robust Image Tampering Detection Method Based on Maximum Entropy Criteria

Zhao

Qin

Liu

2015

Entropy

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This paper proposes a novel image watermarking method based on local energy and maximum entropy aiming to improve the robustness. First, the image feature distribution is extracted by employing the local energy model and then it is transformed as a digital watermark by employing a Discrete Cosine Transform (DCT). An offset image is thus obtained according to the difference between the extracted digital watermarking and the feature distribution of the watermarked image. The entropy of the pixel value distribution is computed first. The Lorenz curve is used to measure the polarization degree of the pixel value distribution. In the pixel location distribution flow, the maximum entropy criteria is applied in segmenting the offset image into potentially tampered regions and unchanged regions. All-connected graph and 2-D Gaussian probability are utilized to obtain the probability distribution of the pixel location. Finally, the factitious tampering probability value of a pending detected image is computed through combining the weighting factors of pixel value and pixel location distribution. Experimental results show that the proposed method is more robust against the commonly used image processing operations, such as Gaussian noise, impulse noise, etc. Simultaneously, the proposed method achieves high sensitivity against factitious tampering.

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NSCT domain–based secure multiple‐watermarking technique through lightweight encryption for medical images

Thakur

Singh

Ghrera

2018

Concurrency and Computation

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This paper discusses a lightweight encryption-based secure digital watermarking technique for medical applications. The technique uses redundant discrete wavelet transform (RDWT) and singular value decomposition (SVD) along with nonsubsampled contourlet transform (NSCT) to improve robustness and imperceptibility. The security of the proposed technique is further improved by incorporating a lightweight (low-complexity) cryptographic mechanism that is applied after embedding multiple watermarks. The proposed scheme first partitions the host image into subcomponents and then calculates the entropy values for it. To the maximum entropy value, the NSCT is applied, followed by RDWT decomposition. Finally, SVD is applied to obtain a singular vector of RDWT-decomposed components. The watermark images are also processed using the same procedure mentioned above. The method uses singular values to hide watermarks into a host image. The experimental outcome shows that the combined technique makes our proposed approach more robust and imperceptible, while it is evaluated for various wavelet filters and 10 different types of medical and five different types of nonmedical cover images. Furthermore, the strength of the cryptographic mechanism is tested using standard performance measures and confirms its effectiveness in security. Moreover, it is evident from the results that our method shows improvement in robustness in comparison to previously reported techniques under consideration.

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Choice of Wavelet from Wavelet Families for DWT-DCT-SVD Image Watermarking

Cited by 12 publications

References 22 publications

Hybrid technique for robust and imperceptible multiple watermarking using medical images

Hybrid technique for robust and imperceptible multiple watermarking using medical images

A Robust Image Tampering Detection Method Based on Maximum Entropy Criteria

NSCT domain–based secure multiple‐watermarking technique through lightweight encryption for medical images

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