Fan Beam Transform and LU Decomposition based Blind Watermarking Technique for Color Images

Author(s):  
K. Prabha ◽  
I. Shatheesh Sam
2020 ◽  
Vol 149 ◽  
pp. 113225 ◽  
Author(s):  
Ling-Yuan Hsu ◽  
Hwai-Tsu Hu

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Hai Nan ◽  
Bin Fang ◽  
Weibin Yang ◽  
Jiye Qian ◽  
Ming Li ◽  
...  

With more color images being widely used on the Internet, the research on embedding color watermark image into color host image has been receiving more attention. Recently, Su et al. have proposed a robust and blind watermarking scheme for dual color image, in which the main innovation is the using of two-level DCT. However, it has been demonstrated in this paper that the original scheme in Su’s study is not secure and can be attacked by our proposed method. In addition, some errors in the original scheme have been pointed out. Also, an improvement measure is presented to enhance the security of the original watermarking scheme. The proposed method has been confirmed by both theoretical analysis and experimental results.


2010 ◽  
Vol 54 (7) ◽  
pp. 1076-1090 ◽  
Author(s):  
A. Basso ◽  
D. Cavagnino ◽  
V. Pomponiu ◽  
A. Vernone

2017 ◽  
Vol 76 (24) ◽  
pp. 25657-25657
Author(s):  
Prasanth Vaidya S. ◽  
Chandra Mouli P. V. S. S. R.

2016 ◽  
Vol 16 (02) ◽  
pp. 1650006 ◽  
Author(s):  
P. Manimehalai ◽  
P. Arockia Jansi Rani

Reversible watermarking methods are used for copyright protection and are able to recover the host image without distortion. Robust reversible watermarking technique should resist against intentional and unintentional image processing attacks. Robust reversible watermarking techniques should have three features namely imperceptibility, reversibility and robustness. In this paper, it is proposed to develop a new robust reversible blind watermarking for color images based on histogram construction of the wavelet coefficients constructed from the cover image. In the proposed approach, the red component of a host color image is decomposed into wavelet coefficients. Motivated by the excellent spatio-frequency localization properties of wavelets, this technique is proposed in the wavelet domain. The pixels are adjusted before watermark embedding such that both overflow and underflow of pixels during embedding is avoided and image is recovered without distortion. Based on histogram construction and the local sensitivity of Human Visual System (HVS) in wavelet domain, the watermark is embedded. For watermark extraction without host image, k-means clustering algorithm is proposed. The experimental results show that the proposed technique has good performance in terms of reversibility and robustness with the high quality of the watermarked image. The PSNR value of the recovered image is around 48[Formula: see text]dB which proves that the quality of the recovered image is not degraded.


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