Abstract
Medical imaging is an important part of patient records. The pixel of a 16-depth DICOM image is totally different from the 8-bit depth nature image and is seldom the same as the other pixels in the nearby area. In this paper, we propose a reversible hiding method that expands Feng and Fan’s prediction technique and adapts the scheme to match the characteristics of medical image. In the previous work, we determine what prediction method should be applied based on standard deviation thresholds to obtain more accurate prediction results. Finally, our approach includes embedding hidden information based on the histogram-shifting technique. The experimental results demonstrate that our approach achieves high-quality results.
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References
Al-Qershi, O.M., Khoo, B.E.: High Capacity Data Hiding Schemes for Medical Images Based on Difference Expansion. Journal of Systems and Software 84, 105–112 (2011)
Al-Qershi, O.M., Khoo, B.E.: Two-Dimensional Difference Expansion(2D-De) Scheme with a Characteristics-based Threshold. Signal Processing 93, 154–162 (2013)
Feng, G., Fan, L.: Reversible Data Hiding of High Payload Using Local Edge Sensing Prediction. Journal of Systems and Software 85, 392–399 (2012)
Lukac, R., Martin, K., Plataniotis, K.N.: Digital Camera Zooming Based on Unified CFA Image Processing Steps. IEEE Transactions on Consumer Electronics 50, 15–24 (2004)
Wen, J., Lei, J., Wan, Y.: Reversible Data Hiding Through Adaptive Prediction and Prediction Error Histogram Modification. International Journal of Fuzzy Systems 14(2), 244–256 (2012)
Yang, W.J., Chung, K.L., Liao, H.Y., Yu, W.K.: Efficient Reversible Data Hiding Algorithm Based on Gradient-based Edge Direction Prediction. The Journal of Systems and Software 86, 567–580 (2013)
Yang, C.H., Tsai, M.H.: Improving Histogram-Based Reversible Data Hiding by Interleaving Predictions. IET Image Processing 4(4), 223–234 (2010)
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© 2015 Springer International Publishing Switzerland
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Lu, TC., Tseng, CY., Huang, CC., Deng, KM. (2015). 16-Bit DICOM Medical Images Lossless Hiding Scheme Based on Edge Sensing Prediction Mechanism. In: Sun, H., Yang, CY., Lin, CW., Pan, JS., Snasel, V., Abraham, A. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-319-12286-1_19
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DOI: https://doi.org/10.1007/978-3-319-12286-1_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12285-4
Online ISBN: 978-3-319-12286-1
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