نویسندگان | Hassan Farsi |
---|---|
نشریه | Multimedia Tools and Applications |
شماره صفحات | 1821-1846 |
شماره سریال | 79 |
شماره مجلد | 2 |
ضریب تاثیر (IF) | 1.346 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2020 |
رتبه نشریه | ISI |
نوع نشریه | چاپی |
کشور محل چاپ | ایران |
نمایه نشریه | ISI،JCR،Scopus |
چکیده مقاله
Steganography has been a great interest since long time ago. There are a lot of methods that have been widely used since long past. Recently, there has been a growing interest in the use of sparse representation in signal processing. Sparse representation can efficiently model signals in different applications to facilitate processing. Much of the previous work was focused on image and audio sparse representation for steganography. In this paper, a new steganography scheme based on video sparse representation (VSR) is proposed. To exploit proper dictionary, KSVD algorithm is applied to DCTcoefficients of Y component related to video (cover) frames. Both I and Q components of video frames are used for secure message insertion. The aim is to hide secret messages into non-zero coefficients of sparse representation of DCT called, I and Q video frames. Several experiments are performed to evaluate the performance of the proposed algorithm, in case of some metrics such as pick signal to noise ratio (PSNR), the hiding ratio (HR), bit error rate (BER) and similarity (Sim) of secret message, and also runtime. The simulation results show that the proposed method exhibits appropriate invisibility and robustness.
tags: Discrete Cosine Transform(DCT) . Dictionary Learning . KSVD.OMP. Sparse Representation . Video Sparse Representation .Video Steganography