An HVS Inspired Robust Non-blind Watermarking Scheme in YCbCr Color Space

2018 ◽  
Vol 18 (03) ◽  
pp. 1850015 ◽  
Author(s):  
Aniket Roy ◽  
Arpan Kumar Maiti ◽  
Kuntal Ghosh
Keyword(s):  
Image Watermarking ◽  
Color Space ◽  
Singular Value ◽  
Strength Parameter ◽  
Perceptual Quality ◽  
Discrete Wavelet ◽  
Blind Watermarking ◽  
Ycbcr Color Space ◽  
Value Decomposition ◽  
Watermarking Scheme

Digital Watermarking is an important tool for copyright protection. A good quality watermarking scheme should provide both perceptual transparency as well as robustness against attacks. Many efficient schemes exist for grayscale image watermarking, but relatively less attention has been paid to watermarking for color images. Moreover, the existing works do not provide adequate justification for the possible choice of color space. In this paper, justification is provided for the choice of YCbCr color space for watermark embedding. A human visual system (HVS)-inspired image-adaptive non-blind watermarking scheme in the YCbCr space has subsequently been proposed. This new algorithm has been referred to as the Additive Embedding Scheme (AES). It comprises of a modified watermarking strength parameter ([Formula: see text]), in combination with the discrete wavelet transform and singular value decomposition (DWT-SVD). Experimental results demonstrate that the proposed watermarking scheme in YCbCr color space provides better perceptual quality as well as robustness against attacks as compared to existing schemes. We have further improvised the aforementioned scheme to come up with a Multiplicative Embedding Scheme (MES) for additional robustness against a special type of attack, viz. the Singular Value Exchange Attack.

A Robust Image Watermarking Scheme in DWT-SVD Domain Based on just Noticeable Distortion

2013 ◽  
Vol 427-429 ◽  
pp. 1723-1726
Author(s):  
Chun Xing Wang ◽  
Jiao Jiao Zhang
Keyword(s):  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Visual Model ◽  
Adaptive Watermarking ◽  
Just Noticeable Distortion ◽  
And Performance ◽  
Value Decomposition ◽  
Watermarking Scheme ◽  
Human Visual Model

This paper proposes a novel scheme combining Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) for image watermarking. The watermarking image is separated by two parts randomly, then they are embedded into the sub-bands obtained from the original image in DWT domain by modifying the singular value. SVD is applied twice in this scheme.The use of the threshold of Just Noticeable Distortion (JND) based on human visual model determines the embedding strength and position of the watermark, the digital adaptive watermarking algorithm in a combinational domain is realized. The experimental results show that the proposed scheme has a good invisibility and performance of robustness for common attacks, simultaneously enhances the embedding capacity and security.

scholarly journals Comparative Analysis of Color Image Watermarking Technique in RGB, YUV, and YCbCr Color Channels

2015 ◽  
Vol 15 (2) ◽  
pp. 133-140 ◽  
Author(s):  
Roshan Koju ◽  
Shashidhar Ram Joshi
Keyword(s):  
Color Image ◽  
Image Watermarking ◽  
Color Space ◽  
Discrete Wavelet ◽  
Color Image Watermarking ◽  
Comparative Performance ◽  
Ycbcr Color Space ◽  
Rgb Color Space ◽  
Value Decomposition ◽  
Color Channels

Since there are a number of color spaces, it has always been a big question to choose one for watermarking. The aim of this work is to find out better color space, among the frequently used one, under the same condition. Comparative performance analysis of color image watermarking technique in color channels of RGB, YUV, YCbCrcolor spaces was studied. For this purpose, color channels were watermarked using single level discrete wavelet transform-singular value decomposition (DWT-SVD). PSNR, and SSIM were used to test the imperceptibility of watermarked images. PSNR and NCC were used to measure the similarity of extracted and original watermarks.The maximum recorded PSNR value is 62.372 for R channel of RGB color space with SSIM value equal to 0.9709. Color channels of YCbCr color space were observed to be more robust and transparent as watermark image is best recovered from YCbCr color space with NCC values in the range 0.86 to 0.877 and SSIM values in the range 0.546to 0.554 under various geometric attacks.DOI: http://dx.doi.org/njst.v15i2.12130Nepal Journal of Science and Technology Vol. 15, No.2 (2014) 133-140

scholarly journals Robust DWT-SVD Domain Image Watermarking based on Iterative Blending

2021 ◽  
Vol 2070 (1) ◽  
pp. 012111
Author(s):  
Kodathala Sai Varun ◽  
Ajay Kumar Mandava ◽  
Rakesh Chowdary
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Digital Multimedia ◽  
Hybrid Watermarking ◽  
The Right ◽  
Value Decomposition ◽  
Watermarking Scheme

Abstract Copyright protection for digital multimedia has become a research hotspot in recent years. As an efficient solution, the digital watermarking scheme has emerged at the right moment. In this article, a highly robust and hybrid watermarking method is proposed. The discrete wavelet transform (DWT) and the singular value decomposition (SVD) as well as iterative blending are adopted in this method to insert and recover the watermark. To enhance the watermark imperceptibility, the second low-level (LL2) coefficients after SVD are modified by using the watermark. Compared with the conventional DWT-SVD-based watermarking method and other watermarking techniques, the watermarked images obtained by the proposed method have higher image quality. In addition, the proposed method achieves high robustness in resisting various image processing attacks.

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