Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30827
Improved Processing Speed for Text Watermarking Algorithm in Color Images

Authors: Hamza A. Al-Sewadi, Akram N. A. Aldakari


Copyright protection and ownership proof of digital multimedia are achieved nowadays by digital watermarking techniques. A text watermarking algorithm for protecting the property rights and ownership judgment of color images is proposed in this paper. Embedding is achieved by inserting texts elements randomly into the color image as noise. The YIQ image processing model is found to be faster than other image processing methods, and hence, it is adopted for the embedding process. An optional choice of encrypting the text watermark before embedding is also suggested (in case required by some applications), where, the text can is encrypted using any enciphering technique adding more difficulty to hackers. Experiments resulted in embedding speed improvement of more than double the speed of other considered systems (such as least significant bit method, and separate color code methods), and a fairly acceptable level of peak signal to noise ratio (PSNR) with low mean square error values for watermarking purposes.

Keywords: Watermarking, Steganography, time complexity measurements, private keys

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 438


[1] A. Raphael, and V. Sundaram, "Cryptography and Steganography – A Survey," International Journal of Computer Technology Applications, vol. 2, 2011, PP 626-630.
[2] R. M. Patel, and D. J. Shah, “Concealogram: Digital image in image using LSB insertion method”, International journal of electronics and communication engineering & technology (IJECET), 2013.
[3] N. Akhtar, J. Pragati, and S. Khan, “Enhancing the security and quality of LSB based image steganography”, in the 5th International Conference on Computational Intelligence and Communication Networks, 2013.
[4] M. Juneja, and P. S. Sandhu, “An improved LSB based Steganography with enhanced Security and Embedding/Extraction”, 3rd International Conference on Intelligent Computational Systems (ICICS'2013) Jan 26-27, Hong Kong (China), 2013.
[5] S. M. Karim, M. S. Rahman, and M. I. Hossain, “A New Approach for LSB Based Image Steganography using Secret Key”, Proceedings of 14th International Conference on Computer and Information Technology (ICCIT 2011), 22-24 Dec 2011, Dhaka, Bangladesh.
[6] M. Hossain, S. Al Haque, and F. Sharmin, “Variable Rate Steganography in Gray Scale Digital Images Using Neighborhood Pixel Information. The International Arab Journal of Information Technology (IAJIT), Vol. 7, No. 1, 2010, PP34-38.
[7] M. O. Al-Dwairi, Z. A. Alqadi, A. A. Abujazar, and R. A. Zneit, "Optimized True-Color Image Processing," World Applied Sciences Journal, vol. 8, 2011, PP 1175-1182.
[8] A. Bamatraf, R. Ibrahim, and, M. N. B. M. Salleh, “Digital watermarking algorithm using LSB”, IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2010, PP 155-159.
[9] K. Dasgupta, J. K. Mandal, and P.Dutta, “Hash Based Least Significant Bit Technique for Video Steganography (HLSB)”, International Journal of Security. Privacy and Trust Management (IJSPTM), Vol. 1, No. 2, 2012.
[10] N. Sruthi, A. V. Sheetal, and V. Elamaran, “Spatial and spectral digital watermarking with robustness evaluation”, 2014 IEEE International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), 2014, PP 500-505.
[11] S. Ghosh, S. De, S. P. Maity, and H. Rahaman, “A novel dual purpose spatial domain algorithm for digital image watermarking and cryptography using Extended Hamming Code”, IEEE 2nd International Conference on, Electrical Information and Communication Technology (EICT), 2015, PP167-172.
[12] R. C. Gonzalez, and R. E. Woods, “Digital Image Processing”, 3rd Ed., Pearson Prentice Hall Pearson Education, 2008.
[13] O. E. Ramos, and B. Rezaei, “Scene Segmentation and Interpretation Image Segmentation using Region Growing”, 2010.
[14] N. Chowdhury, B. Banerjee, and T. Bhattacharjee, "color image segmentation technique using natural grouping of pixels", International Journal of Image Processing, 2010, PP 1985-2304.
[15] S. K. Naik, and C.A. Murthy, "Hue-preserving color image enhancement without gamut problem," IEEE Trans. on Image processing, vol.12, no.12, December 2003, PP1591-1598.