Security Method for Multimedia Content by Using Watermarking

2014 ◽  
Vol 626 ◽  
pp. 1-6
Author(s):  
R. Kavitha ◽  
B. Arivuselvam ◽  
G. Anand
Keyword(s):  
Empirical Mode Decomposition ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Additive Noise ◽  
Video Watermarking ◽  
Multimedia Content ◽  
Digital Audio ◽  
Data Embedding ◽  
Mode Decomposition ◽  
Embedding Rate

Digital watermarking is a technique developed to help copyright protection of Image, audio & video files. It has been spurred by the growth of the Internet, and the ease of copying. This has led to an unprecedented numbers in copyright infringements. The digital audio & video watermarking is concerned with embedding data in a signal the watermark data can be accurately detected. Watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The signal is divided into frames and each one is decomposed adaptively by Empirical Mode Decomposition into intrinsic oscillatory components. The data embedding rate of EMD algorithm is 46.9-50.3 b/s; the robustness of hidden watermark is identified using Mp3 compression, additive noise, and quantization, cropping, filtering and resampling.

Hardware Implementations of Image/Video Watermarking Algorithms

2010 ◽  
pp. 425-454
Author(s):  
Fayez M. Idris
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Video Watermarking ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Hardware Implementations ◽  
Consumer Electronic ◽  
Software Implementations ◽  
Enhance Efficiency

Digital watermarking is a process in which a secondary pattern or signature, called a watermark, is hidden into a digital media (e.g., image and video) such that it can be detected or extracted later for different intentions. Digital watermarking has many applications including copyright protection, authentication, tamper detection, and embedding of electronic patient records in medical images. Various software implementations of digital watermarking algorithms can be built. While software implementations can address digital watermarking in off-line applications, they cannot meet the requirements of many applications. For example, in consumer electronic devices, a software solution would be very expensive. This has motivated the development of hardware implementations of digital watermarking. In this chapter, the authors present a detailed survey of existing hardware implementations of image and video watermarking algorithms. Fundamental design issues are discussed and special techniques exploited to enhance efficiency are identified. Future outlooks are also presented to address the challenges of hardware architecture design for image and video watermarking.

Defending Multimedia Content Embedded in Online Social Networks (OSNs) Using Digital Watermarking

2020 ◽  
pp. 90-113
Author(s):  
Brij B. Gupta ◽  
Somya Rajan Sahoo ◽  
Prashant Chugh ◽  
Vijay Iota ◽  
Anupam Shukla
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Online Social Networks ◽  
Internet Usage ◽  
Multimedia Content ◽  
Least Significant Bit ◽  
Text Documents ◽  
Bit Plane ◽  
Embedded Process ◽  
The Web

In global internet usage, increasing multimedia message, which includes video, audio, images, and text documents, on the web raised a lot of consequences related to copyright. For copyright protection, authentication purpose and forgery detection digital watermarking is the robust way in social network content protection. In this technique, the privacy information is embedded inside the multimedia content like image and video. The protected content embedded inside multimedia content is called watermark-enabled information. To make more effective the process of watermarking, the content encrypted before embedding to the image. Basically, the digital watermarking embedded process implemented in two different domains called spatial and frequency domain. In spatial domain digital watermarking, the watermark information is embedded in the least significant bit of the original image on the basis of bit plane selected and on the basis of the pixels of image, embedding, and detection is performed.

Hardware Implementations of Image/Video Watermarking Algorithms

2013 ◽  
pp. 148-176
Author(s):  
Fayez M. Idris
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Copyright Protection ◽  
Video Watermarking ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Hardware Implementations ◽  
Consumer Electronic ◽  
Software Implementations ◽  
Enhance Efficiency

Digital watermarking is a process in which a secondary pattern or signature, called a watermark, is hidden into a digital media (e.g., image and video) such that it can be detected or extracted later for different intentions. Digital watermarking has many applications including copyright protection, authentication, tamper detection, and embedding of electronic patient records in medical images. Various software implementations of digital watermarking algorithms can be built. While software implementations can address digital watermarking in off-line applications, they cannot meet the requirements of many applications. For example, in consumer electronic devices, a software solution would be very expensive. This has motivated the development of hardware implementations of digital watermarking. In this chapter, the authors present a detailed survey of existing hardware implementations of image and video watermarking algorithms. Fundamental design issues are discussed and special techniques exploited to enhance efficiency are identified. Future outlooks are also presented to address the challenges of hardware architecture design for image and video watermarking.

Design of high performance copyright protection watermarking based on lifting wavelet transform and bi empirical mode decomposition

2018 ◽  
Vol 77 (19) ◽  
pp. 24593-24614 ◽  
Author(s):  
Nidaa Hasan Abbas ◽  
Sharifah Mumtazah Syed Ahmad ◽  
Sajida Parveen ◽  
Wan Azizun Wan ◽  
Abd. Rahman Bin Ramli
Keyword(s):  
Wavelet Transform ◽  
Empirical Mode Decomposition ◽  
Copyright Protection ◽  
High Performance ◽  
Lifting Wavelet Transform ◽  
Mode Decomposition ◽  
Lifting Wavelet

scholarly journals A Novel Video Watermarking Algorithm using DTCWT

2021 ◽  
Vol 9 (VI) ◽  
pp. 1629-1634
Author(s):  
Sridevi Tumula
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Video Watermarking ◽  
Multimedia Data ◽  
Digital Data ◽  
Robust Watermarking ◽  
Complex Wavelet Transform ◽  
Digital Multimedia ◽  
New Novel ◽  
Audio Data

In this paper a new novel color video watermarking algorithm has been proposed using Dual Tree Complex Wavelet Transform (DTCWT). Digital watermarking is an emerging technology for copyright protection for digital multimedia data. Now-a-days a lot of digital data are exchanged in the internet, so to protect the digital multimedia data, digital watermarking is used, the data may be an image or video or an audio data. The main objective of this paper is to maintain perceptivity of digital video and design a robust watermarking algorithm and maintaining the tradeoff between robustness and perceptivity.

scholarly journals Blind Image Watermarking in Canonical and Cepstrum Domains Based on 4-Connected t-o’clock Scrambling

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 266
Author(s):  
Farhana Shirin Chowdhury ◽  
Pranab Kumar Dhar ◽  
Kaushik Deb ◽  
Takeshi Koshiba
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Superior Performance ◽  
Easy Access ◽  
Multimedia Content ◽  
Watermark Image ◽  
Tree Property ◽  
Multimedia Contents ◽  
Blind Image

Copyright protection of multimedia content is confronted with great challenges such as easy access to the Internet. Digital watermarking is widely applicable technique for copyright protection of multimedia contents. In this paper, a blind symmetric watermarking method in canonical and cepstrum domains based on four-connected t-o’clock scrambling is proposed. Initially, the watermark image is scrambled using the four-connected t-o’clock method to enhance the security. Then, the rotation operation is applied to the host image to extract the region where the watermark bits are embedded. After that, discrete linear canonical transform (DLCT) is applied to the extracted region to obtain the DLCT region. Cepstrum transform (CT) is performed on DLCT region to attain CT region. The CT region is then divided into non-overlapping blocks. The watermark bits are inserted into each block using max-heap and min-heap tree property. Experimental results illustrate that the proposed method shows high robustness against numerous attacks. Moreover, it produces high quality watermarked images and provides high security. Furthermore, it has superior performance to recent methods in terms of imperceptibility, robustness, and security.

A robust digital audio watermarking algorithm using Empirical Mode Decomposition

CCECE 2010 ◽  
2010 ◽  
Author(s):  
A N K Zaman ◽  
K. M. Ibrahim Khalilullah ◽  
Md. Wahedul Islam ◽  
Md. Khademul Islam Molla
Keyword(s):  
Empirical Mode Decomposition ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Mode Decomposition
Sign in / Sign up

Export Citation Format

Share Document