Watermarking in motion vector for security enhancement of medical videos

With the advancement in technology, it becomes easy for some individuals to use digital data without the permission of the owner. To increase authentication and security of copyrights, digital watermarking was introduced. Medical videos contain very significant information about the condition of the patient. A good watermarking scheme should always contain very less distortion. Videos generally contain huge temporal redundancy, which demands the use of motion vector estimation technique in order to remove the temporal redundancy. In this work, an image was watermarked inside the motion vector of two consecutive frames of an echo-cardiograph video. Quality analysis of the recovered video with the original video proves the robustness of the proposed scheme.

[1]  S. S. Chaudhuri,et al.  A new fast motion vector estimation algorithm for video compression , 2012, 2012 International Conference on Informatics, Electronics & Vision (ICIEV).

[2]  Cabir Vural,et al.  Reversible video watermarking using motion-compensated frame interpolation error expansion , 2015, Signal Image Video Process..

[3]  J. D. Robbins,et al.  Motion-compensated television coding: Part I , 1979, The Bell System Technical Journal.

[4]  Nilanjan Dey,et al.  Analysis of Photoplethysmographic Signals Modified by Reversible Watermarking Technique using Prediction-Error in Wireless Telecardiology , 2013 .

[5]  Nilanjan Dey,et al.  An edge based blind watermarking technique of medical images without devalorizing diagnostic parameters , 2013, 2013 International Conference on Advances in Technology and Engineering (ICATE).

[6]  Xiao Zeng,et al.  Reversible Video Watermarking Using Motion Estimation and Prediction Error Expansion , 2011, J. Inf. Sci. Eng..

[7]  Zheng Li-xin,et al.  Block Matching Algorithms for Motion Estimation , 2005 .

[8]  Nilanjan Dey,et al.  A novel Block Matching Algorithmic Approach with smaller block size for motion vector estimation in video compression , 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

[9]  P. J. Fitzgerald,et al.  Coronary calcification: assessment by intravascular ultrasound imaging , 2000, Zeitschrift für Kardiologie.

[10]  Chi-Tai Kuo,et al.  Clinical Application of Intravascular Ultrasound in Coronary Artery Disease: An Update , 2011 .

[11]  Nilanjan Dey,et al.  DWT-DCT-SVD based blind watermarking technique of gray image in electrooculogram signal , 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

[12]  Nilanjan Dey,et al.  Multilevel Threshold Based Gray Scale Image Segmentation using Cuckoo Search , 2013, ArXiv.

[13]  Nilanjan Dey,et al.  Stationary Wavelet Transformation Based Self-recovery of Blind-Watermark from Electrocardiogram Signal in Wireless Telecardiology , 2012, SNDS.

[14]  Cabir Vural,et al.  A new reversible video watermarking method based on motion compensated interpolation , 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).

[15]  Nilanjan Dey,et al.  Analysis of P-QRS-T Components Modified by Blind Watermarking Technique Within the Electrocardiogram Signal for Authentication in Wireless Telecardiology Using DWT , 2012 .

[16]  Nilanjan Dey,et al.  VISIBLE WATERMARKING WITHIN THE REGION OF NON -INTEREST OF MEDICAL IMAGES BASED ON FUZZY C-MEANS AND HARRIS CORNER DETECTION , 2013 .

[17]  Nilanjan Dey,et al.  Medical Information Embedding in Compressed Watermarked Intravascular Ultrasound Video , 2013, ArXiv.

[18]  Jasjit S. Suri,et al.  Effect of Geometric-Based Coronary Calcium Volume as a Feature Along with its Shape-Based Attributes for Cardiological Risk Prediction from Low Contrast Intravascular Ultrasound , 2014 .

[19]  N. Dey,et al.  DWT-DCT-SVD based intravascular ultrasound video watermarking , 2012, 2012 World Congress on Information and Communication Technologies.

[20]  Sheli Sinha Chaudhuri,et al.  Lifting Wavelet Transformation based blind watermarking technique of Photoplethysmographic signals in wireless telecardiology , 2012, 2012 World Congress on Information and Communication Technologies.

[21]  Nilanjan Dey,et al.  Particle Swarm Optimization based parameter optimization technique in medical information hiding , 2013, 2013 IEEE International Conference on Computational Intelligence and Computing Research.

[22]  N. Dey,et al.  Feature analysis for the reversible watermarked electrooculography signal using Low distortion Prediction-error Expansion , 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

[23]  Min Tan Scheduling and data relocation for heterogeneous computing systems and parallel implementations of block-based motion vector estimation for video compression , 1997 .

[24]  Nilanjan Dey,et al.  Reversible Color Image Watermarking Using Trigonometric Functions , 2014, 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies.