A methodology for data hiding using images

We present a method of embedding information within digital images, called spread spectrum image steganography (SSIS) along with its payload capacity. Steganography is the science of communicating in a hidden manner. SSIS conceals a message of substantial length within digital imagery while maintaining the original image size and dynamic range. The hidden message can be recovered using the appropriate keys without any knowledge of the original image. The capacity of the steganographic channel is described and the performance of the technique is illustrated. Applications for such a data hiding scheme include in-band captioning, hidden communication, image tamperproofing, authentication, invisible map overlays, embedded control, and revision tracking.

[1]  Edward J. Delp,et al.  A watermark for digital images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[2]  Bin Zhu,et al.  Robust data hiding for images , 1996, 1996 IEEE Digital Signal Processing Workshop Proceedings.

[3]  C. F. Osborne,et al.  A digital watermark , 1994, Proceedings of 1st International Conference on Image Processing.

[4]  Anil K. Jain Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[5]  Walter Bender,et al.  Techniques for Data Hiding , 1996, IBM Syst. J..

[6]  C. T. Retter Decoding binary expansions of low-rate Reed-Solomon codes far beyond the BCH bound , 1995, Proceedings of 1995 IEEE International Symposium on Information Theory.

[7]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for images, audio and video , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[8]  Lisa M. Marvel,et al.  Spread spectrum image steganography , 1999, IEEE Trans. Image Process..

[9]  Joshua R. Smith,et al.  Modulation and Information Hiding in Images , 1996, Information Hiding.

[10]  Ahmed H. Tewfik,et al.  Transparent robust image watermarking , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[11]  Wenjun Zeng,et al.  Digital image watermarking using visual models , 1997, Electronic Imaging.