A new reversible watermarking scheme based on Integer DCT for medical images

Reversible watermarking algorithms make it possible that the original image can be totally restored after the watermark was extracted, so it is widely used in the protection of medicalimages. A new reversible watermarking scheme based on Integer Discrete Cosine Transform (IntDCT) and Difference Expansion (DE) is proposed in this paper. The IntDCT transformation not only avoids the distortion of truncation error, but also leads to a faster processing speed and an easily handled implementation in hardware. In our scheme, an image is firstly divided into some non-overlapping blocks, after which the difference expansion embedding and extracting algorithm is used on those blocks, whose energy is below some predefined thresholds. In order to satisfy the reversibility, overflow or underflow of data is also considered and prevented. Finally, experimental results show that the proposed algorithm may has potential applications in medical image processing.

[1]  Christoph Busch,et al.  Integer DCT-based reversible watermarking for images using companding technique , 2004, IS&T/SPIE Electronic Imaging.

[2]  Chun Kiat Tan,et al.  Security Protection of DICOM Medical Images Using Dual-Layer Reversible Watermarking with Tamper Detection Capability , 2011, Journal of Digital Imaging.

[3]  David V. Beard.  The Society for Computer Applications in Radiology , 2009, Journal of Digital Imaging.

[4]  Adnan M. Alattar,et al.  > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < Reversible Watermark Using the Difference Expansion of A Generalized Integer Transform , 2022 .

[5]  Mohammed Ghanbari,et al.  Reversible and high-capacity data hiding in medical images , 2011 .

[6]  Christoph Busch,et al.  Reversible image watermarking by histogram modification for integer DCT coefficients , 2004, IEEE 6th Workshop on Multimedia Signal Processing, 2004..

[7]  Jun Tian,et al.  Reversible data embedding using a difference expansion , 2003, IEEE Trans. Circuits Syst. Video Technol..

[8]  Walter Bender,et al.  Techniques for data hiding , 1995, Electronic Imaging.

[9]  Yi Du,et al.  A Reversible and Fragile Watermarking Algorithm Based on DCT , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[10]  Athanassios N. Skodras,et al.  Authentication and Self-Correction in Sequential MRI Slices , 2010, Journal of Digital Imaging.

[11]  Hossein Rabbani,et al.  A dual adaptive watermarking scheme in contourlet domain for DICOM images , 2011, Biomedical engineering online.

[12]  Christophe De Vleeschouwer,et al.  Circular interpretation of bijective transformations in lossless watermarking for media asset management , 2003, IEEE Trans. Multim..

[13]  Pradeep M. Patil,et al.  Robust and secured image-adaptive data hiding , 2012, Digit. Signal Process..

[14]  Kumar Parasuraman,et al.  Reversible image watermarking using interpolation technique , 2014, 2014 International Conference on Electronics, Communication and Computational Engineering (ICECCE).

[15]  Iain E. G. Richardson,et al.  H. 264/MPEG-4 Part 10 White Peper : Transform & Quantization , 2003 .

[16]  Osamah M. Al-Qershi,et al.  High capacity data hiding schemes for medical images based on difference expansion , 2011, J. Syst. Softw..