Balance the Robustness and Invisibility of Digital Watermarking by Image Entropy in Multiple Domains

2021 ◽  
pp. 129-135
Author(s):  
Yujian Zhuang ◽  
Xiaoyi Zhou ◽  
Sheng Liu
2005 ◽  
Vol 33 (1) ◽  
pp. 20
Author(s):  
HERBERT Y. MELTZER
Keyword(s):  

2013 ◽  
Vol 5 (1) ◽  
pp. 18-23
Author(s):  
L. Venkateswarlu ◽  
◽  
Dr. N V Rao ◽  

2016 ◽  
Vol 2016 (1) ◽  
pp. 213-218
Author(s):  
Kazushige Banzawa ◽  
Kazuma Shinoda ◽  
Madoka Hasegawa

Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.


Author(s):  
Matthew N.O. Sadiku ◽  
◽  
Adebowale E. Shadare ◽  
Sarhan M. Musa ◽  
◽  
...  
Keyword(s):  

2020 ◽  
Author(s):  
Alexis Garcia ◽  
Anthony Dick ◽  
Paulo A. Graziano

Objective: This study utilized a multimodal approach to examine emotion dysregulation (ED) in young children with attention-deficit/hyperactivity disorder (ADHD), ADHD + oppositional defiant disorder (ODD), and typically developing (TD) children. Methods: We sought to explore if specific domains of ED (emotion regulation [ER], negativity/lability [ERNL], emotion knowledge/understanding [ERU], and callous-unemotional [CU] behaviors) were uniquely associated with diagnostic classifications. The final sample consisted of 152 children (75% boys; mean age = 5.52, SD = .84, 83.4% Latinx) with the following group composition: ADHD- Only (n = 24), ADHD + ODD (n = 54), and TD (n = 74). Results: Higher levels of ADHD and ODD symptoms, measured continuously, were significantly associated with poorer EREG, greater ERNL, and higher levels of reported CU behaviors. There were no significant associations between ADHD or ODD symptoms on ERU. Using discriminant analyses, we found that parent/teacher reported EREG, ERNL, and CU were significant predictors of diagnostic classification. These ED domains correctly identified 84.7% of preschoolers. The model was most successful in classifying children with ADHD+ODD (92.3%) and TD (93.2%) children; however, the ADHD-Only group was correctly identified only 41.7% of the time. Conclusions: This is the first study to 1) examine multiple domains of ED in a clinical sample of preschool children with and without ADHD and 2) explore the clinical utility of considering ED when assessing for ADHD and ODD. Our findings suggest that measures of ED are particularly helpful for correctly diagnosing ADHD and co-occurring ODD but not necessarily children with ADHD-Only.


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