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• W2186589321 abstract "The copyright protection of digital data became a crucial issue nowadays. Watermarking is one of the powerful solutions, in which a specified signal or image is embedded in digital data that can be extracted or detected later for authentication purpose. In this paper, a new watermarking approach based on wavelet coefficient quantization using back propagation neural network in discrete wavelet transform domain is proposed. The host image is decomposed up to three levels using discrete wavelet transform. The secret image is chosen as a watermark. The back propagation neural network is used while embed and extract the watermark. Peak signal to noise ratio and normalized cross- correlation coefficient are computed to measure the image quality of the proposed technique. Experimental results demonstrate that the proposed watermarking algorithm has good imperceptibility and robustness against several types of attacks, such as salt and pepper, Gaussian and speckle noise addition, compression and rotation." @default.
• W2186589321 created "2016-06-24" @default.
• W2186589321 creator A5056387968 @default.
• W2186589321 date "2014-01-01" @default.
• W2186589321 modified "2023-09-27" @default.
• W2186589321 title "A Novel Image Watermarking Method Using Discrete Wavelet Transform and Back Propagation Neural Network" @default.
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