Randon and Ridgelet Transformation Applicaton in Image Digital Watermark

Abstract:

Propose a digital watermark algorithm that can be resisted geometric attack, in order to enhance the capacity to resist attacks such as rotation, use the 0° angle Randon transformation as the reference vector, estimate and correct the rotation transformation of the carrier image, recover the watermark synchronization. when watermark is embedded, perform wavelet transform on original image and blocked the LF sub-band, perform the Ridgelet transformation on each block; change two-value watermark to one-dimension, embedded the watermark bit into the Maximum energy direction of Ridgelet. The simulation results show that the algorithm can effective resist various attacks such as noise, filtering, compression, rotation, shearing and scaling etc, and the ability of resist various attacks is robust.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 1925-1929
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.1925
• Online since: September 2013
• Authors: Ying Jiang Li, Ying Fang Li
• Keywords: Digital Watermarking, Randon Transformation, Ridgelet Transformation

References

[1] CuiDeLong, HuangwenPei, Based on DT-CWT watermark algorithm [J]. Computer Engineering and Design. 2009-13.

[2] N. Johnson, Z. Duric, S. Jajo dia. Recovery of watermarks from distorted images [C]/Proc. 3rd Int. Workshop on Information Hiding, Lecture Notes in Computer Science, 1999, 1768: 318-332.

DOI: 10.1007/10719724_22

[3] XiaoYingjie, SunJinguang, ZhangYun. Dig ital watermarking algorithm based on template and image feature [J]. Journal of Computer Applications Vol 30 No. 1 Jan. (2010).

[4] He Bing, Wang Jing, Application of Radon Transform Invariant Moments in Digital Watermarking[J]. Computer&Digital Engineering, 2010. Vol. 38 No. 7：133-138.

[5] FANG Xiao Peng, Peng Bo. Detection method of digital watermark about anti-attacking rotation based on Radon [J], Computer Engineering and Design, Feb. 2008, Vol. 29 No. 3.

[6] Candes E J, Donoho D L. Ridgelets: A Key to Higher Dimensionality Intermittency [J]. Philosophical Trans of the Royal Society London Series A, 1999, 357: 2495-2509.

DOI: 10.1098/rsta.1999.0444

[7] Starck J-L, Candes E J, Donoho D L. The Curvelet Transform for Image Denosing [J]. IEEE Trans on Image Processing, 2002, 11( 6): 670-684.

DOI: 10.1109/tip.2002.1014998

[8] Xue Shen-nan, Chen Xiu-hong. Digital Watermark Algorithm Based on Chaos Encryption and SVD[J]. Computer Engineering. 2010. 19 Vol 38. No 19.

[9] Liu guo hua, Niu xiao yan. An Image Digital Watermarking Algorithm Based on Ridgelet Transform[J] Journal of Hangzhou Dianzi University. Jun. 2010 Vol. 30, No. 3.