Digital Watermarking Capacity and Detection Error Rate

2011 ◽  
pp. 257-276
Author(s):  
Fan Zhang
Keyword(s):  
Neural Network ◽  
Digital Watermarking ◽  
Error Rate ◽  
Copyright Protection ◽  
Channel Coding ◽  
Average Energy ◽  
Detection Error ◽  
Attraction Basin ◽  
Payload Capacity ◽  
Audio Video

The digital multimedia, including text, image, graphics, audio, video, and so forth, has become a main way for information communication along with the popularization of Internet and the development of multimedia techniques. How to provide copyright protection has drawn extensive attention in recent years. As a main method for copyright protection, digital watermarking has been widely studied and applied. In this chapter we discuss the important properties of watermarks, the capacity, and the detection error rate. The watermarking system is analyzed based on the channel capacity and error rate of the communication system, and the relation between the detection error rate with the capacity and payload capacity is derived. This chapter also introduces a new analysis method of the watermarking capacity, which is based on the theories of attractors and attraction basin of artificial neural network. The attraction basin of neural network decides the upper limit of watermarking, and the attractors of neural network decide the lower limit of watermarking. According to the experimental results, the detection error rate of watermark is mainly influenced by the watermark average energy and the watermarking capacity. The error rate rises with the increase of watermarking capacity. When the channel coding is used, the watermarking error rate drops with the decrease of the payload capacity of watermarking.

scholarly journals A Study on Digital Watermarking Techniques

2018 ◽  
Vol 4 (3) ◽  
pp. 5
Author(s):  
Garima Bhargava ◽  
Arun Jhapate
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Information Hiding ◽  
Image Watermarking ◽  
Multimedia Systems ◽  
Research Interest ◽  
Transform Domain ◽  
Still Images ◽  
Audio Video ◽  
Networked Multimedia

Digital watermarking was introduced as a result of rapid advancement of networked multimedia systems. It had been developed to enforce copyright technologies for cover of copyright possession. This technology is first used for still images however recently they need been developed for different multimedia objects like audio, video etc. Watermarking, that belong to the information hiding field, has seen plenty of research interest. There's a lot of work begin conducted in numerous branches in this field. The image watermarking techniques might divide on the idea of domain like spatial domain or transform domain or on the basis of wavelets. The copyright protection, capacity, security, strength etc are a number of the necessary factors that are taken in account whereas the watermarking system is intended. This paper aims to produce a detailed survey of all watermarking techniques specially focuses on image watermarking types and its applications in today’s world.

LSB and DES based Quad Tree Digital Watermarking

2018 ◽  
Vol 8 (2) ◽  
pp. 64
Author(s):  
Anamika Upadhyay ◽  
Nirupma Tiwari
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Block Size ◽  
Tree Decomposition ◽  
Cover Image ◽  
Quad Tree ◽  
Minimum Block ◽  
Audio Video ◽  
Textual Content

Digital watermarking technology is being adopted to make certain and facilitate records authentication, safety and copyright protection of virtual media. It is taken into consideration as the maximum important era in these day’s world, to save you unlawful copying of information. Digital watermarking can be getting to audio, video, textual content or pictures. In this paper present the quad tree decomposition of cover picture consequences in variable sized square blocks. The presented approach adaptively determines locations within variable sized quad tree blocks in a cover image for embedding the secret text. The number of blocks obtained for a cover image is controlled using a threshold and a minimum block size.

Optimizing Error Rate in Intrusion Detection System Using Artificial Neural Network Algorithm

2018 ◽  
Vol 6 (9) ◽  
pp. 152
Author(s):  
S. Vijaya Rani ◽  
G. N. K. Suresh Babu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Intrusion Detection ◽  
Error Rate ◽  
Learning Process ◽  
Nearest Neighbor ◽  
Detection System ◽  
Support Vector ◽  
K Nearest Neighbor ◽  
Artificial Neural

The illegal hackers  penetrate the servers and networks of corporate and financial institutions to gain money and extract vital information. The hacking varies from one computing system to many system. They gain access by sending malicious packets in the network through virus, worms, Trojan horses etc. The hackers scan a network through various tools and collect information of network and host. Hence it is very much essential to detect the attacks as they enter into a network. The methods  available for intrusion detection are Naive Bayes, Decision tree, Support Vector Machine, K-Nearest Neighbor, Artificial Neural Networks. A neural network consists of processing units in complex manner and able to store information and make it functional for use. It acts like human brain and takes knowledge from the environment through training and learning process. Many algorithms are available for learning process This work carry out research on analysis of malicious packets and predicting the error rate in detection of injured packets through artificial neural network algorithms.

A DCT-Domain System for Digital Watermarking

2013 ◽  
Vol 321-324 ◽  
pp. 2609-2612
Author(s):  
Yan Liang ◽  
Gao Yan ◽  
Chun Xia Qi
Keyword(s):  
Signal Processing ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Random Sequence ◽  
Multimedia Data ◽  
Dct Domain ◽  
Digital Document ◽  
Dct Coefficients ◽  
Processing Techniques ◽  
Signal Processing Techniques

Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia data in a networked environment. It makes possible to tightly associated to a digital document a code allowing the identification of the data creator, owner, authorized consumer, and so on. In this paper a new DCT-domain system for digital watermarking algorithm for digital images is presented: the method, which operates in the frequency domain, embeds a pseudo-random sequence of scrambled image in a selected set of DCT coefficients. After embedding, the watermark is adapted to the image by exploiting the masking characteristics of the human visual system, thus ensuring the watermark invisibility. By exploiting the statistical properties of the embedded sequence, the mark can be reliably extracted without resorting to the original uncorrupted image. Experimental results demonstrate that the watermark is robust to several signal processing techniques, including JPEG compression, cut, fuzzy, addition of noise, and sharpen.

Digital Watermarking for 3D Polygonal Model Based on Wavelet Transform

1999 ◽  
Author(s):  
Hiroaki Date ◽  
Satoshi Kanai ◽  
Takeshi Kishinami
Keyword(s):  
Wavelet Transform ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Affine Transformation ◽  
Wavelet Coefficient ◽  
Original Data ◽  
Geometric Error ◽  
Digital Data ◽  
Cad Cam ◽  
Polygonal Model

Abstract Recently, much interest is being taken in a method to protect the copyright of digital data and prevent illegal duplication of it. However, in the area of CAD/CAM and CG, there are no effective ways to protect the copyright of the 3D geometric models. As a first step to solve this problem, a new digital watermarking method for 3D polygonal models is introduced in this paper. Watermarking is one of the copyright protection methods where an invisible watermark is secretly embedded into the original data. The proposed watermarking method is based on the wavelet transform (WT) and multi-resolution representation (MRR) of the polygonal model. The watermark can be embedded in the large wavelet coefficient vectors at various resolution levels of the MRR. This makes the embedded watermark imperceptible and invariant to the affine transformation, and also makes the control of the geometric error caused by the watermarking reliable.

Dual-wrapped digital watermarking scheme for image copyright protection

2007 ◽  
Vol 26 (4) ◽  
pp. 319-330 ◽  
Author(s):  
Ming-Chiang Hu ◽  
Der-Chyuan Lou ◽  
Ming-Chang Chang
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Watermarking Scheme
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