Description

ABSTRACT

The project presents privacy protection of medical images with information using histogram shifting based reversible data hiding. An Embedding module involves image encoding and histogram shifting based difference expansion. First of all, the patients’ privacies need to be preserved. Therefore, embedding secret data into the medical images would be one of the useful methods for protecting the privacies. Next, because external data are hidden into the original image, some alterations are supposed to be induced. After data embedding, the output image should be as similar as its original counterpart, and medical doctors may lead to proper treatment by using the images with hidden data when necessary. Reversible data hiding is a newly developed branch in data hiding or watermarking researches. Reversibility means that data, including patients’ private information and the diagnosis data, can be hidden into the medical image by some means developed by ourselves. Later on, the medical image containing data might be retrieved by medical doctors while necessary, and both the original image and the hidden data can be perfectly recovered with the algorithm corresponding to the embedding scheme. Finally the performance of an algorithm will be evaluated by mean square error, peak signal to noise ratio, entropy and correlation coefficient.

DEMO VIDEO

EXISTING METHOD

• Integer transform based reversible data hiding
• Pixel substitution and Difference expansion
• Bit modification method

DRAWBACKS

• Low hiding capacity
• High distortion due to loss of edge details

PROPOSED METHOD

• Reversible data hiding for protection of medical images with additional information based on histogram shifting and encoding technique

BLOCK DIAGRAM

EMBEDDING

EXTRACTION

METHODOLOGIES

• Histogram analysis
• Image Coding
• Embedding
• Extraction
• Performance analysis

ADVANTAGES

• Lossless recovery of original image
• High hiding capacity
• Low distortion

APPLICATIONS

• Data protection in medical field
• Defense and Research Organization

SOFTWARE REQUIREMENTS

• MATLAB 7.5 and above versions

RESULTS

REFERENCES

[1] G. Coatrieux, C. L. Guillou, J. M. Cauvin, and C. Roux, “Reversible watermarking for knowledge digest embedding and reliability control in medical images,” IEEE Trans. Inf. Technol. Biomed., vol. 13, no. 2,pp. 158–165, Mar. 2009.

[2] S. Lee, C. D. Yoo, and T. Kalker, “Reversible image watermarking based on integer-to-integer wavelet transform,” IEEE Trans. Inf. Forens. Security, vol. 2, no. 3, pp. 321–330, Sep. 2007.

[3] R. Li, O. C. Au, C. K. M. Yuk, S. Yip, and T. Chan, “Enhanced image trans-coding using reversible data hiding,” in Proc. IEEE Int. Symp. Circuits Syst., May 2007, pp. 1273–1276.

[4] R. Caldelli, F. Filippini, and R. Becarelli, “Reversible watermarking techniques: An overview and a classification,” Eur. Assoc. Signal Process. J. Inf. Security, vol. 2010, no. 2, pp. 1–19, 2010.

[5] J. Fridrich, M. Goljan, and R. Du, “Lossless data embedding-new paradigm in digital watermarking,” Eur. Assoc. Signal Process. J. Appl. Signal Process., vol. 2002, no. 2, pp. 185–196, Feb. 2002.

[6] T. Kalker and F. M. J. Willems, “Capacity bounds and constructions for reversible data hiding,” Security Watermarking Multimedia Contents V, vol. 5020, pp. 604–611 Jun. 2003