Secure binary image steganography based on LTP distortion minimization
| Autor: | Wei Lu, Yuileong Yeung, Yingjie Xue, Ruipeng Li, Junjia Chen |
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| Rok vydání: | 2019 |
| Předmět: |
Steganography
Pixel Computer Networks and Communications Computer science Binary image ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Measure (mathematics) Hardware and Architecture Distortion 0202 electrical engineering electronic engineering information engineering Media Technology Code (cryptography) Algorithm Software |
| Zdroj: | Multimedia Tools and Applications. 78:25079-25100 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-019-7731-0 |
| Popis: | This paper proposes a secure binary image steganography by minimizing the flipping distortion on the statistics of local texture pattern (LTP) and constructing flexible carriers of syndrome-trellis code (STC). Firstly, the change of LTP’s statistic caused by flipping one pixel is employed to measure the flipping distortion of the corresponding pixel, which can well describe the flipping distortion on both statistics and vision. Secondly, we select the non-uniform blocks flexibly and reconstruct them as STC’s carriers, which can access a scalable and nearly continuous capacity upper bound to accommodate to the different secret message lengths. Our experimental results show that, for one specific message length, the security on both statistics and vision is improved significantly when the message length is closed to the capacity upper bound. The comparisons with previous steganographic schemes demonstrate the superiority of the proposed scheme. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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