Secured Video Steganography in DWT-DCT Domains Based on Multiple Object Tracking using H.264 Algorithm
Laxmi Gulappagol1, K.B. ShivaKumar2
1Laxmi Gulappagol, Research Scholar, Department of ECE, VTU, Jnana Sangama, Belgaum (Karnataka), India.
2K.B. ShivaKumar, Department of Telecommunication, Sri Siddhartha Institute of Technology, Tumkur (Karnataka), India.
Manuscript received on 29 March 2019 | Revised Manuscript received on 08 April 2019 | Manuscript Published on 27 April 2019 | PP: 864-869 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F10980476S219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The technological development in past few years has led to the evolution of new techniques for secured digital data communication. Video steganography is one of the most efficient methods for secure and robust data communication. This article presents a steganographic algorithm in transfer domain using Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) based on Multiple Object Tracking, encoding and decoding using H.264 algorithm. Initially input video is divided into ‘N’ number of frames on which motion object detection and tracking is implemented. 2-D DWT is applied on RGB channels of each motion region resulting in LL-LH and HH sub bands. DCT is also applied on the same motion region resulting in DC and AC co – efficient. The resultant stego video is rebuilt by combining non-motion objects and transformed motion objects of the frame. The performance analysis is carried out for Peak Signal to Noise Ratio (PSNR), Correlation, Mean Square Error and SSIM. The effect of attacks such as Gaussian White and Salt & Pepper are also analysed. The experimental results predict that the recommended algorithm improves the embedding capacity and also enhances the robustness of secured data communication.
Keywords: DCT, DWT, Multiple Object Tracking,H.264, Stego Video.
Scope of the Article: Algorithm Engineering