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.

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

Author: Li-Chin Huang, Lin-Yu Tseng, Min-Shiang HwangSource: The Journal of Systems and Software, 2013 Reporter: Min-Hao Wu

Outline

Introduction Proposed scheme Experimental results Conclusion

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.

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

Introduction (cont.) DE is one kind of integer wavelet trans

form proposed by Tian high-capacity and low-distortion reversi

ble watermarking redundancy in digital images by expand

ing the difference between the two neigh- boring pixel pairs to achieve a high-capacity and low-distortion reversible watermarking

Introduction (cont.) Histogram shifting is another technique ap

plied in reversible watermarking schemes In 2006 Ni proposed a zero and a peak point of i

mage histogram to embed messages. In 2011 Luo proposed exploits the high correlati

on among image block pixels to produce a difference histogram and embedded secret data by a multi-level histogram shifting mechanism.

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 sur

face, (4) well-suited sparse histogram of intensity lev

els, (5) free location map, (6) ability of adjusting data embedding capacity,

PSNR and Inter-Slice PSNR.

Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

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Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

Proposed scheme (cont.)

The strategy of data embedding where k is threshold and ˛ is difference value.

Proposed scheme (cont.)

Proposed scheme (cont.)

Experiment results

Experiment results (cont.)

Experiment results (cont.)

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.