Abstract
LDPC (low-density parity-check code) is a parity check code, and its performance is very close to Shannon limit. It is a sort of good channel code which has good ability of error correction. The coding can be introduced to an information-hiding algorithm because of its functional advantages. This way can improve robustness of a system in the process of information hiding, and it has a good application prospect. In this paper, a new algorithm is proposed which concludes two steps. Firstly, the encryption information needs to be implemented scrambling dispose; secondly, LDPC codes and modulation are used in the algorithm, and the encryption information is embedded into the carrier image, so the process of watermark embedding is completed. The method realizes the double encryption of information, and it improves the system’s stability and security. Under the test of MATLAB emulation, the application of LDPC code in encryption algorithm is fully verified.
Highlights
Nowadays, the Internet and communication technologies have made great development
The specific application of chaotic sequence in digital watermarking is manifested in two aspects: First, the digital watermarking information need to be operated by preprocessing before operation which mainly includes directly encrypting or scrambling the watermark information with the generated pseudo-random sequence
3.1 The overview of low-density parity check (LDPC) code LDPC code is a kind of linear block code, its function can be reflected through the check matrix, and its most important feature is sparse [19]
Summary
The Internet and communication technologies have made great development. Data and digital media technologies are increasingly prosperous. LDPC code is a very excellent code which can meet the current high-speed and high-quality transmission requirements It has a very good spot with the current era of network communications 4G and even 5G, and has made a great contribution for the growth of communication technology. Many kinds of image encryption algorithms have been proposed at home and abroad, such as using LDPC non-regular codes and using wavelet packet transform (DWT) and singular value decomposition (SVD) methods, to reduce the bit error rate of transmission [12]. The above algorithms are put forward with the aid of the error correction property of LDPC coding to embed the watermark information in the carrier image. Ensures the privacy and imperceptibility, while reducing the error rate and improving transmission speed
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
