Abstract
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.
Highlights
Because of the convenience in networking, low cost in maintenance, and strong resistance to natural disasters, Wireless Visual Sensor Networks (WVSN) are suitable for various applications such as traffic management and intelligent monitoring
Most of the tactical reconnaissance missions in battlefields need to transmit scenes obtained by visual acquisition nodes through the wireless channels, during which the corresponding electromagnetic signals exposed in the air are easy to be accessed by enemies. e most common solution is to use various encryption algorithms to improve the security of data before transmitting
Based on the conclusion mentioned above, this paper proposed to embed secret information into the mediumfrequency band in the Discrete Cosine Transformation (DCT) coefficient matrix of the cover image to improve the antijamming performance of the image steganography system without significant influence on the reconstruction accuracy
Summary
Because of the convenience in networking, low cost in maintenance, and strong resistance to natural disasters, Wireless Visual Sensor Networks (WVSN) are suitable for various applications such as traffic management and intelligent monitoring. Confidential information is generally transmitted by means of hiding in unrelated images In this case, the hidden data should be safely transmitted in the channel and accurately reconstructed at the receiving terminals, while there are no strict requirements on the reconstruction accuracy of cover images. The hidden data should be safely transmitted in the channel and accurately reconstructed at the receiving terminals, while there are no strict requirements on the reconstruction accuracy of cover images To delve into these questions, researchers combined information security theory with signal processing technology and proposed the basic concept and specific scheme of information hiding [6,7,8,9,10,11,12].
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