The International Arab Journal of Information Technology (IAJIT)


A Robust Blind Watermarking Scheme for Ownership Assertion of Multi-band Satellite

Satellite images serve as very reliable sources for crucial information of inaccessible areas which incur high costing in their acquisitions. Hence, they must reside with their rightful owners as their mishandling may lead to serious consequences. A robust blind watermarking scheme for multi-band satellite images is proposed in this paper. Ownership information is embedded into cover image via minimum manipulation of pixel values such that the classification results are not much affected. Homogeneity analysis of the cover image is performed to chalk out homogeneous sites for embedding of copyright information. To further enhance the security of the scheme, random chaotic mapping along with convolutional encoding and viterbi decoding and multiple secret keys (four) has been employed. The robustness of the scheme has been tested against comprehensive set of attacks and evaluated using Normalized Cross Correlation (NCC) and Peak Signal to Noise Ratio (PSNR) metrics. The comparative results with the other existing state of the art approaches confirm the efficacy of the proposed scheme.

[1] Amirgholipour S. and Sharifi A., A Pre- Filtering Method to Improve Watermark Detection Rate in DCT Based Watermarking, The International Arab Journal of Information Technology, vol. 11, no. 2, pp. 178-185, 2014.

[2] Bender W., Gruhl D., and Morimoto N., Techniques for Data Hiding, in Proceedings of SPIE: Storage and Retrieval of Image and Video Databases, San Jose, pp. 164-173, 1995.

[3] Caldelli R., Filippini F., and Barni M., Joint Near-Lossless Compression and Watermarking of Still Images for Authentication and Tamper Localization, Signal Processing: Image Communication, vol. 21, no. 10, pp. 890-903, 2006.

[4] He H., Zhang J., and Tai H., Block-Chain based Fragile Watermarking Scheme with Superior Localization, International Workshop on Information Hiding, Santa Barbara, pp. 147-160, 2008.

[5] Ho A., Zhu X., and Woon W., A Semi-Fragile Pinned Sine Transform Watermarking System For Content Authentication of Satellite Images, in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Seoul, pp. 25- 29, 2005.

[6] Ismail I., Farah I., and Ahmed M., Satellite Images Watermarking based on Wavelet Technique, in Proceedings of 2nd International conference Information and Communication Technologies, Damascus, pp. 1988-1993, 2006.

[7] Kumari B. and Rallabandi V., Modified Patchwork-based Watermarking Scheme for Satellite Imagery, Signal Processing, vol. 88, no. 4, pp. 891- 904, 2008.

[8] Lee C. and Lee Y., An Adaptive Digital Image Watermarking Technique for Copyright Protection, IEEE Transactions on Consumer Electronic, vol. 45, no. 4, pp. 1005-1015, 1999.

[9] Petitcolas F., Watermarking Schemes Evaluation, IEEE Signal Processing Magazine, vol. 17, no. 5, pp 58-64, 2000.

[10] Piva A., Barni M., Bartolini F., and Cappellini V., Dct-based Watermark Recovering without Resorting to the Uncorrupted Original Image, in Proceedings of International Conference on Image Processing, Santa Barbara, pp. 520-523, 1997.

[11] Qin Q., Wang W., Chen S., Chen D., and Fu W., Research of Digital Semi-Fragile Watermarking of Remote Sensing Image based on Wavelet Analysis, IEEE International Geoscience and Remote Sensing Symposium, Anchorage, pp. 2542-2545, 2004.

[12] Ruiz J. and Megas D., A Novel Semi-Fragile Forensic Watermarking Scheme for Remote Sensing Images, International Journal of Remote Sensing, vol. 32, no. 19, pp. 5583-5606, 2011.

[13] Sal D. and Gra M., A Multi Objective Evolutionary Algorithm for Hyper Spectral Image Watermarking, Computational Intelligence for Remote Sensing, Studies in Computational Intelligence, San Sebastian, pp. 63-78, 2008.

[14] Serra J., Megas D., Joancomarti J., and Minguilln J., Multiband Semi-fragile Watermarking for Multi and Hyperspectral Images based on Iterative Tree Structured Vector Quantization, in Proceedings of Image and Signal Processing for Remote Sensing XII, Stockholm, pp. 636501- 6365010, 2006.

[15] Tamhankar H., Bruce L., and Younan N., Watermarking of Hyperspectral Data, in Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Toulouse, pp. 3574-3576, 2003.

[16] Wang X., Guan Z., and Wu C., A Novel Information Hiding Technique for Remote Sensing Image, in Advanced Data Mining and Applications, Lecture Notes in Computer Science, Springer Berlin Heidelberg, pp. 423- 430, 2005.

[17] Wu M. and Liu B., Data Hiding in Images and Video: Part I: Fundamental Issues and Solutions, IEEE Transactions on Image Processing, vol. 12, no. 6, pp. 685-695, 2003. Priyanka Singh received B.Tech Degree from HBTI, Kanpur, M.Tech degree from NIT, Allahabad, India. She is presently pursuing Ph.D. from NIT, Allahabad and area of interests include Digital Watermarking, Visual Cryptography, and Security related concepts.