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An Improved Image Steganography Scheme Based on Partial Preservation Embedding Algorithm for Wireless Visual Sensor Networks
Author(s) -
Qian Shen,
Tao Jiang,
Yongjun Zhu,
Yin Wu
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/6618134
Subject(s) - encryption , embedding , steganography , computer science , algorithm , transformational leadership , image (mathematics) , cover (algebra) , noise (video) , domain (mathematical analysis) , frequency domain , interference (communication) , scheme (mathematics) , wireless sensor network , computer vision , wireless , theoretical computer science , artificial intelligence , computer engineering , mathematics , computer network , telecommunications , engineering , channel (broadcasting) , mechanical engineering , mathematical analysis , public relations , political science
With the continuous improvement of encryption algorithms, some applications based on the architecture of wireless visual sensor networks have gradually shifted their attention to the imperceptibility and antijamming performance of secret images. To reduce the probability of secret images being detected, the current research focuses on hiding secret data in the least-significant bit of the cover image in the spatial domain or embedding data into the coefficients of the high-frequency band in the transformational domain, which usually leads to poor performance in a hostile environment. Therefore, some researchers proposed to substitute the coefficients of the medium-frequency band in the transformational domain with secret information to enhance the anti-interference performance. However, this idea would severely affect the imperceptibility of secret images. As a result, an improved version based on the partial preservation embedding algorithm was designed in this paper. Theory analysis and simulation results indicate that the proposed scheme performs better than the existing methods by directly substituting the coefficients of the medium-frequency band in the transformational domain, especially in the case of strong noise interference.

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