FPGA-based adaptive image watermark embedding method and implementation

2012 ◽  
Author(s):  
Chen Feifei ◽  
Li Bo ◽  
Lian Yu ◽  
Li Yuhui
Keyword(s):  
Embedding Method ◽  
Image Watermark ◽  
Watermark Embedding

Design Principles for Active Audio and Video Fingerprinting

2005 ◽  
pp. 157-172
Author(s):  
Martin Steinbach ◽  
Jana Dittmann
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Design Principles ◽  
Test Results ◽  
Embedding Method ◽  
Audio Fingerprinting ◽  
Video Fingerprinting ◽  
Watermark Embedding ◽  
Media Comparison ◽  
Customer Identification

Active fingerprinting combines digital media watermarking and codes for collusion-secure customer identification. This requires specialized strategies for watermark embedding to lessen the thread of attacks like marked media comparison or mixing. We introduce basic technologies for fingerprinting and digital watermarking and possible attacks against active fingerprinting. Based on this, we provide test results, discuss the consequences and suggest an optimized embedding method for audio fingerprinting.

Speech Content Authentication Scheme based on High-Capacity Watermark Embedding

2017 ◽  
Vol 9 (2) ◽  
pp. 1-14
Author(s):  
Fang Sun ◽  
Zhenghui Liu ◽  
Chuanda Qi
Keyword(s):  
High Capacity ◽  
Low Frequency ◽  
Authentication Scheme ◽  
Content Authentication ◽  
Embedding Capacity ◽  
Embedding Method ◽  
Frame Number ◽  
Watermark Embedding ◽  
Authentication Schemes ◽  
Speech Content

The existed content authentication schemes based on digital watermark have some shortcomings. In order to solve the problems, a speech content authentication scheme based on high-capacity watermark embedding is proposed, and the high-capacity embedding method is discussed. Firstly, speech signal is framed and segmented, and the samples of each segment are scrambled. Secondly, DCT is performed on the scrambled signal, and low-frequency coefficients are selected as the watermark embedding domain. Lastly, frame number is mapped to a sequence of integers and embedded into the domain based on the embedding method. Theoretical analysis and experimental evaluation results show that the proposed algorithm is inaudible, robust to desynchronous attacks, enhances the embedding capacity, and improves the security of watermark system.

Speech Content Authentication Scheme based on High-Capacity Watermark Embedding

2020 ◽  
pp. 400-413
Author(s):  
Fang Sun ◽  
Zhenghui Liu ◽  
Chuanda Qi
Keyword(s):  
Theoretical Analysis ◽  
High Capacity ◽  
Low Frequency ◽  
Digital Watermark ◽  
Authentication Scheme ◽  
Content Authentication ◽  
Embedding Method ◽  
Watermark Embedding ◽  
Authentication Schemes ◽  
Speech Content

The existed content authentication schemes based on digital watermark have some shortcomings. In order to solve the problems, a speech content authentication scheme based on high-capacity watermark embedding is proposed, and the high-capacity embedding method is discussed. Firstly, speech signal is framed and segmented, and the samples of each segment are scrambled. Secondly, DCT is performed on the scrambled signal, and low-frequency coefficients are selected as the watermark embedding domain. Lastly, frame number is mapped to a sequence of integers and embedded into the domain based on the embedding method. Theoretical analysis and experimental evaluation results show that the proposed algorithm is inaudible, robust to desynchronous attacks, enhances the embedding capacity, and improves the security of watermark system.

Design Principles for Active Audio and Video Fingerprinting

2008 ◽  
pp. 900-911
Author(s):  
Martin Steinbach ◽  
Jana Dittmann
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Design Principles ◽  
Test Results ◽  
Embedding Method ◽  
Audio Fingerprinting ◽  
Video Fingerprinting ◽  
Watermark Embedding ◽  
Media Comparison ◽  
Customer Identification

Active fingerprinting combines digital media watermarking and codes for collusion-secure customer identification. This requires specialized strategies for watermark embedding to lessen the thread of attacks like marked media comparison or mixing. We introduce basic technologies for fingerprinting and digital watermarking and possible attacks against active fingerprinting. Based on this, we provide test results, discuss the consequences and suggest an optimized embedding method for audio fingerprinting.

scholarly journals An Adaptive Visible Watermark Embedding Method based on Region Selection

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Wenfa Qi ◽  
Yuxin Liu ◽  
Sirui Guo ◽  
Xiang Wang ◽  
Zongming Guo
Keyword(s):  
Low Complexity ◽  
Image Texture ◽  
Just Noticeable Difference ◽  
Watermark Image ◽  
Embedding Method ◽  
Host Image ◽  
Region Selection ◽  
Watermark Embedding ◽  
Visible Watermarking ◽  
Visible Watermark

Aiming at the problem that the robustness, visibility, and transparency of the existing visible watermarking technologies are difficult to achieve a balance, this paper proposes an adaptive embedding method for visible watermarking. Firstly, the salient region of the host image is detected based on superpixel detection. Secondly, the flat region with relatively low complexity is selected as the embedding region in the nonsalient region of the host image. Then, the watermarking strength is adaptively calculated by considering the gray distribution and image texture complexity of the embedding region. Finally, the visible watermark image is adaptively embedded into the host image with slight adjustment by just noticeable difference (JND) coefficient. The experimental results show that our proposed method improves the robustness of visible watermarking technology and greatly reduces the risk of malicious removal of visible watermark image. Meanwhile, a good balance between the visibility and transparency of the visible watermark image is achieved, which has the advantages of high security and ideal visual effect.

Design Principles for Active Audio and Video Fingerprinting

2008 ◽  
pp. 547-558
Author(s):  
M. Steinbach ◽  
J. Dittmann
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Design Principles ◽  
Test Results ◽  
Embedding Method ◽  
Audio Fingerprinting ◽  
Video Fingerprinting ◽  
Watermark Embedding ◽  
Media Comparison ◽  
Customer Identification

Active fingerprinting combines digital media watermarking and codes for collusion-secure customer identification. This requires specialized strategies for watermark embedding to lessen the thread of attacks like marked media comparison or mixing. We introduce basic technologies for fingerprinting and digital watermarking and possible attacks against active fingerprinting. Based on this, we provide test results, discuss the consequences and suggest an optimized embedding method for audio fingerprinting.

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