On the security of a hybrid watermarking algorithm based on singular value decomposition and Radon transform

2011 ◽  
Vol 65 (11) ◽  
pp. 958-960 ◽  
Author(s):  
Huo-Chong Ling ◽  
Raphael C.-W. Phan ◽  
Swee-Huay Heng
Keyword(s):  
Singular Value Decomposition ◽  
Radon Transform ◽  
Singular Value ◽  
Hybrid Watermarking ◽  
Value Decomposition

scholarly journals ROBUST INTEGER HAAR WAVELET BASED WATERMARKING USING SINGULAR VALUE DECOMPOSITION

2016 ◽  
Vol 9 (1) ◽  
pp. 26 ◽  
Author(s):  
Prajanto Wahyu Adi ◽  
Farah Zakiyah Rahmanti
Keyword(s):  
Singular Value Decomposition ◽  
Haar Wavelet ◽  
Previous Method ◽  
Singular Value ◽  
Haar Wavelet Transform ◽  
Jpeg2000 Compression ◽  
Singular Coefficients ◽  
Image Pixels ◽  
Hybrid Watermarking ◽  
Value Decomposition

This paper proposed a hybrid watermarking method that used dither quantization of Singular Value Decomposition (SVD) on average coefficients of Integer Haar Wavelet Transform (IHWT). The watermark image embeds through dither quantization process on singular coefficients value. This scheme aims to obtain the higher robustness level than previous method which performs dither quantization of SVD directly on image pixels value. The experiment results show that the proposed method has proper watermarked images quality above 38dB. The proposed method has better performance than the previous method in term of robustness against several image processing attacks. In JPEG compression with Quality Factor of 50 and 70, JPEG2000 compression with Compression Ratio of 5 and 3, average filtering, and Gaussian filtering, the previous method has average Normalized Correlation (NC) values of 0.8756, 0.9759, 0.9509, 0.9905, 0.8321, and 0.9297 respectively. While, the proposed method has better average NC values of 0.9730, 0.9884, 0.9844, 0.9963, 0.9020, and 0.9590 respectively.

scholarly journals Hybrid watermarking scheme based on singular value decomposition ghost imaging

2020 ◽  
Vol 50 (4) ◽  
Author(s):  
Jun-Yun Wu ◽  
Wei-Liang Huang ◽  
Ru-Hong Wen ◽  
Li-Hua Gong
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Coefficient Matrix ◽  
Singular Value ◽  
Watermark Image ◽  
Ghost Imaging ◽  
Hybrid Watermarking ◽  
Value Decomposition ◽  
Watermarking Scheme ◽  
Band Image

A hybrid watermarking algorithm with an optical watermark image based on singular value decomposition (SVD) ghost imaging is designed. Simultaneously, the blended watermarking algorithm is designed based on 4-level discrete wavelet transform (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD). The 4-level diagonal sub-band image is obtained by performing 4-level two-dimensional wavelet transform on the original image, and the coefficient matrix is produced by applying the discrete cosine transform on the 4-level diagonal sub-band image. Then, three matrices are obtained by performing the singular value decomposition on the coefficient matrix. In addition, the optical watermark image is encrypted by an SVD ghost imaging system. The system could generate a secret key, and unauthorized users could not decrypt and reconstruct the original watermark image without this key. Later the encrypted watermark image is generated into the other three matrices by singular value decomposition. Afterwards, the encrypted watermark is embedded in the host image by mutual operation of different matrices in the algorithm. Simulation results validate the feasibility of the proposed hybrid watermarking scheme.

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