2019
DOI: 10.35940/ijeat.a1327.109119
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Multiple Watermarking for Images using Back-Propagation Neural Network and DWT

Abstract: An effective multiple watermarking technique supported on neural network into the wavelet transform can be proposed. The wavelet coefficients has been preferred by Human Visual System. In the proposed work focus on Discrete Wavelet Transform based segmented image watermarking techniques using Back-Propagation neural networks. Using improved BPNN, the multiple watermarks are embedded into the original image, which can advance the pace of the learn, reduce the error and the qualified neural networks are extricat… Show more

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Cited by 4 publications
(3 citation statements)
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“…Nineteen intensity-based features and 26 shape-based features can be extracted for every extraction setting (filter, width, contour, and bin). Nineteen distinctive settings could be permutations of 2 contours (Gold and HGG), two filters (LoG and original), bandwidth (2,4,8,16), and 1450 total amount of derived radiomics imaging features.…”
Section: Wwwetasrcom Rajeshkumar Et Al: Blockchain-assisted Homomorph...mentioning
confidence: 99%
See 1 more Smart Citation
“…Nineteen intensity-based features and 26 shape-based features can be extracted for every extraction setting (filter, width, contour, and bin). Nineteen distinctive settings could be permutations of 2 contours (Gold and HGG), two filters (LoG and original), bandwidth (2,4,8,16), and 1450 total amount of derived radiomics imaging features.…”
Section: Wwwetasrcom Rajeshkumar Et Al: Blockchain-assisted Homomorph...mentioning
confidence: 99%
“…Awareness of new or changing skin growths or spots, especially those that look unusual, must be assessed. The physician must assess progressive change or any new lesion in its appearance (color, size, or shape) [6][7][8].…”
Section: Introductionmentioning
confidence: 99%
“…The described system is robust and secure under a variety of attacks. In 2019[9], another multiple image watermarking method is proposed based on Back Propagation Neural Network (BPNN) and DWT. The wavelet domain decomposes the host image, and the improved BPNN inserts the multiple watermarks into the host image.…”
mentioning
confidence: 99%