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A hybrid DST-SBPNRM approach for compressed video steganography
- Source :
- Multimedia Systems. 27:417-428
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- The proposed research work is presenting a novel approach in the field of steganography, especially in the compressed video domain with optimum imperceptibility to secure the secret information. In this approach, the specific secret cover video frames are selected from the sequence of video frame from which the non-dynamic region is separated. Discrete sine transform (DST) transforms this non-dynamic region from spatial domain to frequency domain. The least significant bits (LSBs) of the integer part of DST components are used to conceal the secret data. The H.264 codec is used to construct the compressed stego video using intra-frame, inter-frame prediction, motion vector estimation, transform coefficient, i.e., Discrete Cosine Transform (DCT), quantization, and entropy coding. The efficiency of the proposed hybrid technique “DST- Secret Bit Positions of Non-dynamic Region for Message (DST-SBPNRM)” for video steganography is measured by evaluating imperceptibility, robustness and embedding capacity. Moreover, the proposed technique is experimented on the well-defined video dataset and the obtained results are compared with the related work to validate the significance of the proposed work.
- Subjects :
- Steganography
Computer Networks and Communications
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020207 software engineering
Data_CODINGANDINFORMATIONTHEORY
02 engineering and technology
Motion vector
Discrete sine transform
Hardware and Architecture
Frequency domain
0202 electrical engineering, electronic engineering, information engineering
Media Technology
Discrete cosine transform
Codec
020201 artificial intelligence & image processing
Entropy encoding
Quantization (image processing)
Algorithm
Software
Information Systems
Subjects
Details
- ISSN :
- 14321882 and 09424962
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Multimedia Systems
- Accession number :
- edsair.doi...........6b6f6fed1aae967a3f4dde8a33d92fc3
- Full Text :
- https://doi.org/10.1007/s00530-020-00735-9