A reversible data hiding method by histogram shifting in high quality medical images

1. A reversible data hiding method by histogram shifting in high quality medical images Author: Li-Chin Huang, Lin-Yu Tseng, Min-Shiang Hwang Source: The Journal of Systems and Software, 2013 Reporter: Min-Hao Wu

2. Outline • Introduction • Proposed scheme • Experimental results • Conclusion

3. Introduction • Most hospitals have already established the electronic medical information to make healthcare better, safer, and more efficient. • Over the Internet, digitized medical information is very convenient to transmit among patients, medical professionals, health care providers, and institutes of medicine. • Data hiding plays an important role in information security such as authentication, fingerprinting, copy control, security, and covert communication.

4. Introduction (cont.) • Reversible data hiding, which is also called lossless data hiding • Reversible data hiding techniques can be classed into three groups • data compression (VQ) • pixel-value difference expansion (DE) • histogram-based scheme

5. Introduction (cont.) • DE is one kind of integer wavelet transform proposed by Tian • high-capacity and low-distortion reversible watermarking • redundancy in digital images by expanding the difference between the two neigh- boring pixel pairs to achieve a high-capacity and low-distortion reversible watermarking

6. Introduction (cont.) • Histogram shifting is another technique applied in reversible watermarking schemes • In 2006 Ni proposed a zero and a peak point of image histogram to embed messages. • In 2011 Luo proposed exploits the high correlation among image block pixels to produce a difference histogram and embedded secret data by a multi-level histogram shifting mechanism.

7. Proposed scheme • Reversible data hiding in medical image • (1) well-suited for high quality medical images, • (2) without salt-and-pepper, • (3) applicable to medical image with smooth surface, • (4) well-suited sparse histogram of intensity levels, • (5) free location map, • (6) ability of adjusting data embedding capacity, PSNR and Inter-Slice PSNR.

8. Proposed scheme (cont.)

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11. Proposed scheme (cont.) http://140.134.50.88/report/counter.php?arg=1782:report/data/report/2013-3-21/A%20reversible%20data%20hiding%20method%20by%20histogram%20shifting%20in%20high%20quality%20medical%20images(for%20print).pdf

12. Proposed scheme (cont.)

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19. Proposed scheme (cont.) The strategy of data embedding where k is threshold and ˛ is difference value.

21. Proposed scheme (cont.)

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23. Experiment results

24. Experiment results (cont.)

25. Experiment results (cont.)

26. Conclusion • Sign and unsign 16-bit depth high quality medical images with dicom format are tested on our algorithm. • well-suited for high quality medical images and without salt-and-pepper. • the utilization rate and histogram shift to solve underflow/overflow problem.