Description: 一种基于DCT的扩频水印算法,本算法通过对水印信息进行扩频,在原始载体图像的DCT域内进行水印嵌入。-DCT-based spread spectrum watermarking algorithm, the algorithm is spreading through the watermark information in the original carrier image of the DCT domain for watermark embedding. Platform: |
Size: 28672 |
Author:林旭亮 |
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Description: 基于小波变换的扩频图象数字水印,将水印嵌入到小波中。以保证信息的安全-Spread spectrum based on wavelet transform image watermarking, the watermark is embedded into the wavelet. To ensure information security Platform: |
Size: 1024 |
Author:lina |
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Description: Speech Based Watermarking for Digital Images
This paper presents a novel scheme of
watermarking of digital images for copyright protection and
authentication. In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of concern here is the capacity because the speech
data has large number of samples. Linear predictive coding is
used to encode the audio data. Here, speech samples are
imperceptibly inserted using spread spectrum technique into the
mid frequency band of wavelet transform of image which makes
it robust to lossy compression. Applications for such a speechhiding
scheme include copy protection, authentication and covert
communication. Platform: |
Size: 195584 |
Author:Nayan Patel |
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Description: 基于[Ingemar J. Cox, Joe Kilian, F. Thomson Leighton, and Talal Shamoon, Secure Spread
Spectrum Watermarking for Multimedia, IEEE Trans. on Image Processing, Dec. 1997]文章实现得水印程序。-Based on [Ingemar J. Cox, Joe Kilian, F. Thomson Leighton, and Talal Shamoon, " Secure Spread Spectrum Watermarking for Multimedia," IEEE Trans. On Image Processing, Dec. 1997] article was to achieve watermark program. Platform: |
Size: 5120 |
Author:田叶 |
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Description: Watermarking is an operation of embedding infor-
mation into an image in a way that allows to identify ownership
of the image despite applying some distortions on it. In this
paper, we present a novel end-to-end solution for embedding and
recovering the watermark in the digital image using convolutional
neural networks. We propose a spreading method of the message
over the spatial domain of the image, hence reducing the local
bits per pixel capacity and significantly increasing robustness. To
obtain the model we use adversarial training, apply noiser layers
between the encoder and the decoder, and implement a precise
JPEG approximation. Moreover, we broaden the spectrum of
typically considered attacks on the watermark and we achieve
high overall robustness, most notably against JPEG compression,
Gaussian blur, subsampling or resizing. We show that an appli-
cation of some attacks could increase robustness against other
non-seen during training distortions across one group of attacks
— a proper grouping of the attacks according to their scope
allows to achieve high general robustness Platform: |
Size: 774757 |
Author:bamzi334 |
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