High Capacity and Secure Watermarking for Medical Images Using Tchebichef Moments

Ahouz, Fatemeh; Bastani, A.

doi:10.13164/re.2020.0636

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…In addition, Deng et al in [17] developed a method based on Tchebichef moments where the reliable feature point is determined using the Harris Laplace detector recognizing different non-overlapped disks. A new imperceptible zero watermarking method using Tchebichef moments for medical images was introduced by authors in [55]. Krawtchouk moments (KMs) are then proposed in [56] where a new method is presented to protect 3D video content against pirating.…”

Section: Related Workmentioning

confidence: 99%

New Blind Image Moments Watermarking Method Based on Evolutionary Optimization of Embedding Parameters

Chekira,

Marzouq,

Batioua

et al. 2023

IEEE Access

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In image watermarking, the locations where the watermark is embedded in the frequency domain and the embedding strength influence the overall performance of the blind watermarking procedure. The present paper aims to propose a new blind watermarking method based on the dither modulation by developing an automatic selection of the optimum embedding parameters that guarantee high-quality watermarked images and low bit error rates during the extraction process. The proposed automatic search method for the best discrete moments subsets is based on an evolutionary algorithm and adopts a specific coding strategy with a group of genes representing the embedding positions. The second part of the chromosome is reserved for the embedding strength coding, followed by the application of different evolutionary operators on the evolution pool. Our study explores the impact of maximum generation, population size, and cutting-point positions with different crossover and mutation rates. The performances under different attack conditions are evaluated, and a comparative study is established with other conventional selection methods and other discrete transforms. Results show that our proposed optimization algorithm baptized EWIMps achieves the best trade-off between robustness and imperceptibility with a peak signal-to-noise ratio varying from 28.33 dB to 59.87 dB and a normalized cross-correlation value from 0.707 to 1.INDEX TERMS Data hiding, blind image watermarking, orthogonal discrete moments, discrete transforms, dither modulation, evolutionary algorithm.

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Section: Related Workmentioning

confidence: 99%

New Blind Image Moments Watermarking Method Based on Evolutionary Optimization of Embedding Parameters

Chekira,

Marzouq,

Batioua

et al. 2023

IEEE Access

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show abstract

“…However, as the watermark is not actually embedded in the data, is there any disadvantage for zero watermarking? Let us start with the watermark capacity [40,41] first. The watermark capacity refers to the number of watermark bits that are embedded in the host data [42] (p. 71), usually in bits, and is the key factor in cropping attacks.…”

Section: The Losslessness and The Quality Of The Watermarkmentioning

confidence: 99%

Zero Watermarking for the TIN DEM Data Based on the Edge Length

Zhou

Zhu

Ren

2021

IJGI

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How to keep the fidelity of the digital elevation model (DEM) data is a crucial problem in the current watermarking research, as the watermarked DEM data need to preserve their accuracy. We proposed a zero watermarking method for the triangulated irregular network (TIN) DEM data. It takes full advantage of the characteristics of the edge length in the TIN DEM data. First, the radio of the edge lengths is quantified to the watermark index, and then the comparison of the edge lengths is quantified to the watermark bit. Finally, the watermark is constructed by combing the watermark bits according to the watermark indices with the help of the majority voting mechanism. In the method, the TIN DEM data are only used to construct the watermark, not to be embedded by the watermark. Therefore, the data quality is preserved to the greatest extent. Experiments verify the theoretical achievements of this method and demonstrate the method is lossless to the TIN DEM data. Simulation results also show that the method has good robustness on translation, rotation, scaling, and cropping attacks.

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“…Mohananthini [8][9] inserted two gray scale watermark images (32×32 size) into the original color image (512×512 size) using the Daubechies Wavelet Transform and studied its applications in medecine. Bastani and Sharkas technique [10] [11] allows to insert two marks whose dimension is a quarter of that of the host image. Inamdar [12] have proposed a complex dual watermarking scheme with multiple biometric watermarks in which it embeds firstly speech and face biometric traits of owner and lastly offline signature is overlaid translucently on image.…”

Section: Introductionmentioning

confidence: 99%

Multiple Image Watermarking Based on SVD: Improving Capacity and Imperceptibility

Razafindradina¹,

Randriamitantsoa

2023

SSRN Journal

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High Capacity and Secure Watermarking for Medical Images Using Tchebichef Moments

Cited by 6 publications

References 18 publications

New Blind Image Moments Watermarking Method Based on Evolutionary Optimization of Embedding Parameters

New Blind Image Moments Watermarking Method Based on Evolutionary Optimization of Embedding Parameters

Zero Watermarking for the TIN DEM Data Based on the Edge Length

Multiple Image Watermarking Based on SVD: Improving Capacity and Imperceptibility

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