Optimal Dual Watermarking of Color Images with SWT and SVD Through Genetic Algorithm

Sivananthamaitrey, P.; Kumar, Pardeep

doi:10.1007/s00034-021-01773-y

Cited by 16 publications

(5 citation statements)

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“…Protecting medical images against manipulation in ehealthcare systems is crucial need to prevent incorrect diagnoses and treatments. Thus, various techniques have been presented to confirm the authenticity of medical data based on signature or hash [4], encryption [5], [6], and watermarking (e.g., [7], [8], [9]). For instance, Jabbar et al [4] suggested a frequency domain method that combines the hash signature with the watermarking system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The watermark is hidden in the chosen DCT coefficients of 8 × 8 blocks. A dual watermarking method using stationary wavelet transform and SVD is introduced in [8] for color general and medical images. This algorithm hides two watermarks: gray-scale watermark concealed in the green layer of the color image for the copyright protection purpose, and binary watermark concealed in the blue channel for tamper detection purpose.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Secure Self-Embedding Technique for Manipulation Detection and Correction of Medical Images

Tareef

2024

IJCDS

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The protection of medical images transmitted through the E-healthcare system is very critical. Nowadays, medical image watermarking has been emerged as trustworthy way to authenticate medical information during transmission. This paper presents a secure self-embedding scheme that detects and corrects the tampesr in medical images. The proposed scheme involved two decomposition and dimensionality reduction techniques, singular value decomposition and learning sparse decomposition. First, the color medical image is transformed into YCrCb color space and the luminance plane is chosen. To create the watermark, the medical image is automatically classified into region of interest (ROI) and region of non-interest (RONI), and then, the ROI is encoded by sparse decomposition with convolutional Basis Pursuit DeNoising (BPDN) dictionary. The sparse watermark is then hidden in the singular values of the host part of the image. The quantitative and qualitative results show that the proposed method is robust against numerous aggressive and geometric distortions without compromising the quality of the original medical image. The proposed algorithm yields a high Peak Signal-to-Noise Ratio (PSNR) larger than 45dB for all type of images, as well as high normalized correlation (NC) value under all types of attacks. It is demonstrated that the presented system performs better than the existing techniques, and could be helpful for e-healthcare systems.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A Secure Self-Embedding Technique for Manipulation Detection and Correction of Medical Images

Tareef

2024

IJCDS

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“…In Ref. 19, a digital watermarking algorithm that embeds a full-size gray-scale watermark image as that of the host image for copyright protection is developed but less imperceptible against hybrid attacks. Reference 20 proposes a watermarking method in which the main steps are scaling, block separation, computation of feature vectors, spotting regions for watermarking, message transformation, watermark embedding, inverse DCT, and message restoration.…”

Section: Literature Surveymentioning

confidence: 99%

“…The proposed watermarking technique lacks authentication, 18 and robustness is not good against geometric attacks. In Ref 19,. a digital watermarking algorithm that embeds a full-size gray-scale watermark image as that of the host image for copyright protection is developed but less imperceptible against hybrid attacks.…”

Section: Literature Surveymentioning

confidence: 99%

BacterialWmark: telemedicine watermarking technique using bacterial foraging for smart healthcare system

2023

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A transform domain digital image watermarking technique is proposed using bacterial foraging optimization (BFO) for telemedicine applications. To make a trade-off between robustness, imperceptibility, and authenticity is a significant focus of our work. The field of telemedicine is one of the critical areas for an intruder to make unwanted changes. The size of medical data is exponentially increasing since the pandemic. So, the security of medical data is also a big concern. One of the most important techniques to safeguard medical data is image watermarking. The digital imaging and communications in medical images of liver ultrasound are taken as input host images. Peak signal-to-noise ratio, Kullback-Leibler distance, and root-mean-square difference are used for BFO. The proposed BacterialWmark technique shows a significant improvement in robustness and imperceptibility compared with other existing techniques. The computational complexity of the proposed work is also less. The authentication of the watermarked image is successfully executed as the features are perfectly matched with the aid of the MinEigen algorithm. So, the BacterialWmark algorithm can be used in the field of telemedicine efficiently.

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“…The advantages and disadvantages of each scheme are used as inspiration to combine several transformations, or hybrids with new transformations to the scheme, or combined across different domains. For example, DCT with SVD scheme [39], DWT with SVD scheme [40], DWT with DCT scheme [41], SVD with Hadamard transform [42], DWT with LSB [43], SVD with DFT [44], DWT with DFT [45], SVD with SWT [46], SVD in spatial domain [47], hybrid SDV, DWT, and HVS [48], and many more hybrid image watermarking schemes. These hybrid examples show there are improvement opportunities to get better performances.…”

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confidence: 99%

Toward Achieving a Trade-Off for SVD-Based Image Watermarking Using Mojette Transform

Marjuni,

Shidik,

Syukur

et al. 2024

IEEE Access

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Imperceptibility and robustness are a part of trade-off components in image watermarking schemes and become one of the most studied in this field. Increasing imperceptibility usually will reduce the robustness, conversely, increasing the robustness may reduce the imperceptibility. This study is intended to overcome this challenge by proposing an image watermarking scheme using the Mojette transform to increase both imperceptibility and robustness. This transform is derived from the Radon transform which has some advantages in geometrical representations that have benefits for imperceptibility and robustness analyses. For evaluation purposes, the performance of the Mojette transform is evaluated on an image watermarking scheme in the singular value decomposition as this domain is stable in response to various image processing operations and also has a simple computation. The use of the Mojette transform in the proposed method involves both main image watermarking processes, which are watermark embedding and extraction. Towards achieving the trade-off of the watermarking requirement, the embedding watermark is designed at the maximum capacity. This means that the watermark is designed at the same size as the host image although it is embedded in various levels of scale factor. The watermarked image is then evaluated in the imperceptibility aspect, and the extracted watermark is evaluated in the robustness aspect after some attacks are applied to the watermarked images. Experimental results on some test images show that embedding the watermark at the maximum size using the proposed method kept producing a good perceptible watermarked image without reducing imperceptibility and robustness. For example, the imperceptibility of the watermarked image at 1% of the embedded scale factor could produce the visual quality at 45.2373 dB and the watermark could be extracted well although some attacks have occurred on the watermarked image. Almost all of the extracted watermarks after being distorted by nosing, filtering, compression, rotation, cropping, and flipping attacks have normalized correlation coefficients above 95%. Although the payload capacity of the watermark still needs further analysis, however, this study shows that the Mojette transform can contribute toward achieving the trade-off in the image watermarking requirements.INDEX TERMS Image watermarking, singular value decomposition, Mojette transform, watermarking scheme trade-off, imperceptibility, robustness, payload capacity. I. INTRODUCTIONData and information in the current digital era are commonly expressed in digital forms, such as text, images, audio,The associate editor coordinating the review of this manuscript and approving it for publication was Siddhartha Bhattacharyya .and video [1]. Compared to other digital formats, digital images dominate their use in practice, such as in business, health, social media, military, education, government, and many more. This is because the use of images is more effective and practiced. In terms of size, digital imag...

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Optimal Dual Watermarking of Color Images with SWT and SVD Through Genetic Algorithm

Cited by 16 publications

References 30 publications

A Secure Self-Embedding Technique for Manipulation Detection and Correction of Medical Images

A Secure Self-Embedding Technique for Manipulation Detection and Correction of Medical Images

BacterialWmark: telemedicine watermarking technique using bacterial foraging for smart healthcare system

Toward Achieving a Trade-Off for SVD-Based Image Watermarking Using Mojette Transform

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