scholarly journals A Reliable Image Watermarking Scheme Based on Redistributed Image Normalization and SVD

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Musrrat Ali ◽  
Chang Wook Ahn ◽  
Millie Pant ◽  
Patrick Siarry
Keyword(s):  
Digital Image ◽  
Image Watermarking ◽  
Piecewise Linear ◽  
Chaotic Map ◽  
Scaling Factor ◽  
Image Normalization ◽  
Integer Multiple ◽  
Piecewise Linear Chaotic Map ◽  
Value Decomposition ◽  
Watermarking Scheme

Digital image watermarking is the process of concealing secret information in a digital image for protecting its rightful ownership. Most of the existing block based singular value decomposition (SVD) digital watermarking schemes are not robust to geometric distortions, such as rotation in an integer multiple of ninety degree and image flipping, which change the locations of the pixels but don’t make any changes to the pixel’s intensity of the image. Also, the schemes have used a constant scaling factor to give the same weightage to the coefficients of different magnitudes that results in visible distortion in some regions of the watermarked image. Therefore, to overcome the problems mentioned here, this paper proposes a novel image watermarking scheme by incorporating the concepts of redistributed image normalization and variable scaling factor depending on the coefficient’s magnitude to be embedded. Furthermore, to enhance the security and robustness the watermark is shuffled by using the piecewise linear chaotic map before the embedding. To investigate the robustness of the scheme several attacks are applied to seriously distort the watermarked image. Empirical analysis of the results has demonstrated the efficiency of the proposed scheme.

scholarly journals A Novel Chaos-Based Image Encryption Scheme by Using Randomly DNA Encode and Plaintext Related Permutation

2020 ◽  
Vol 10 (21) ◽  
pp. 7469
Author(s):  
Zhen Li ◽  
Changgen Peng ◽  
Weijie Tan ◽  
Liangrong Li
Keyword(s):  
Dna Sequence ◽  
Image Encryption ◽  
Digital Image ◽  
Piecewise Linear ◽  
Chaotic Map ◽  
Security Analysis ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
Piecewise Linear Chaotic Map ◽  
Comparison Results

To ensure the security and privacy of digital image when its transmitting online or storing in the cloud, we proposed a novel chaos based image encryption scheme by using randomly DNA encode and plaintext related permutation. In our scheme, we first randomly encode plain image into a nucleotide sequence under the control by the piecewise linear chaotic map(PWLCM). After that, the plaintext related permutation would be done under the control sequence which generated by hyper chaotic Lorenz system (HCLS). Next, we make diffusion processing with key DNA sequence which is generated by another PWLCM system and also encoded randomly. Finally, we decode DNA sequence into cipher image matrix. In addition, we used many common security analysis methods to test our scheme, and the result compared with other works. The tests and comparison results are shown that our proposed image cryptosystem has excellent security performance to ensure the digital image security on communication.

scholarly journals An Improvement in Digital Image Watermarking Scheme Based on Singular Value Decomposition and Wavelet Transform

2019 ◽  
Vol 8 (1) ◽  
pp. 62-68
Author(s):  
Manasha Saqib ◽  
Sameena Naaz
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Digital Image ◽  
Digital Signature ◽  
Image Watermarking ◽  
Singular Value ◽  
Digital Image Watermarking ◽  
Lifting Wavelet Transform ◽  
Value Decomposition ◽  
Watermarking Scheme

An enormous growth of multimedia information in the internet has given rise to varied unauthorized use and modification. This authenticity issue is equally a limitation both in the defense data transmission and secured transmission. Digital watermarking is one of the legitimate solutions to the above problem since it makes possible validation and secure transmission of secret data. This paper presents a robust and secure digital image watermarking scheme that can be used for copyright protection. The scheme involves Lifting Wavelet Transform (LWT) and Singular Value Decomposition (SVD). The latest approach to wavelet transform is the Lifting Wavelet Transform and the significant transform technique for robust digital image watermarking is Singular Value Decomposition. The results are cross-validated by using inverse LWT and SVD. The digital signature mechanism is used to generate and embed a digital signature after the watermark is embedded, then the ownership is authenticated before extracting watermarks. In order to check the robustness of the method against various common image processing attacks like Mean, Median, Gaussian, Shear, Rotation and Crop, certain performance metrics such as peak to signal noise ratio (PSNR)and mean square error (MSE) is computed. To check similarity, normal cross-correlation (NCC) is used.

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