A Survey on Digital Image Steganography

Internet brings us not only the convenience of communication but also some security risks, such as intercepting information and stealing information. Therefore, some important information needs to be hidden during communication. Steganography is the most common information hiding technology. This paper provides a literature review on digital image steganography. The existing steganography algorithms are classified into traditional algorithms and deep learning-based algorithms. Moreover, their advantages and weaknesses are pointed out. Finally, further research directions are discussed.

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[19]  N. Vongurai,et al.  Frequency-Based Steganography Using 32x32 Interpolated Quantization Table and Discrete Cosine Transform , 2012, 2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation.

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[22]  Po-Yueh Chen,et al.  A DWT Based Approach for Image Steganography , 2006 .

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[28]  Jianyi Liu,et al.  Invisible steganography via generative adversarial networks , 2018, Multimedia Tools and Applications.

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[30]  Khan Muhammad,et al.  CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method , 2017, Multimedia Tools and Applications.

[31]  Jing Dong,et al.  SSGAN: Secure Steganography Based on Generative Adversarial Networks , 2017, PCM.

[32]  Lee-Ming Cheng,et al.  Hiding data in images by simple LSB substitution , 2004, Pattern Recognit..

[33]  Edward Rivas.  Fourier phase domain steganography: phase bin encoding via interpolation , 2007, SPIE Defense + Commercial Sensing.

[34]  Bin Li,et al.  Automatic Steganographic Distortion Learning Using a Generative Adversarial Network , 2017, IEEE Signal Processing Letters.

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