A New Robust Color Image Watermarking Based on DWT and DRT

2013 ◽  
Vol 278-280 ◽  
pp. 1366-1373 ◽  
Author(s):  
Zi Teng ◽  
Xiu Feng Qiu ◽  
Jian Wei Liu
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Color Image ◽  
Image Watermarking ◽  
Discrete Wavelet ◽  
Color Image Watermarking ◽  
Ridgelet Transform ◽  
Color Image Watermark ◽  
Robust Image ◽  
Watermarking Scheme

The copyright protection of multimedia information is more and more important in the digital age, digital watermarking is a solution to address the topic. This paper proposes a new robust image watermarking scheme based on discrete ridgelet transform (DRT) and discrete wavelet transform (DWT). The scheme respectively embeds a copy of color image watermark into DWT domain and DRT domain, and uses a conception of semi-watermark. Experiment results demonstrate that the watermark can resist various attacks such as adding Gaussian or Union Distribution Noise, JPEG compression, brightness adjustment, contrast adjustment, altering color balance, lens blur, zooming in or out, cropping and some combined attacks etc.

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.

A Combined just Noticeable Distortion Model-Guided Color Image Watermarking Scheme

2010 ◽  
Vol 171-172 ◽  
pp. 622-627
Author(s):  
Wang Sheng Fang ◽  
Yu Nan Li ◽  
Lu Lu Wu ◽  
Rong Zhang
Keyword(s):  
Color Image ◽  
Image Watermarking ◽  
Discrete Wavelet ◽  
Arnold Transform ◽  
Color Image Watermarking ◽  
Distortion Model ◽  
Just Noticeable Distortion ◽  
Visual Characteristics ◽  
Watermarking Scheme ◽  
Content Information

A new color image watermarking scheme is presented. The visual characteristics of HVS, multi-resolution of discrete wavelet transform, and color image content information are adopted to classify the wavelet coefficients and find a new JND model. The embedded watermark is processed by Arnold transform and chaotic modulation, which can improve the security of scheme. The combined JND model-guided watermarking scheme provides the maximum strength transparent watermark to compromise the robustness and invisibility. Both better invisibility and robustness work than other algorithms based on HVS are shown in the experimental results.

Quantum color image watermarking based on fast bit-plane scramble and dual embedded

2018 ◽  
Vol 16 (07) ◽  
pp. 1850060 ◽  
Author(s):  
Ri-Gui Zhou ◽  
Peng Liu Yang ◽  
Xing Ao Liu ◽  
Hou Ian
Keyword(s):  
Nearest Neighbor ◽  
Color Image ◽  
Interpolation Method ◽  
Image Watermarking ◽  
Extraction Process ◽  
Watermark Image ◽  
Color Image Watermarking ◽  
Encryption Algorithms ◽  
Bit Plane ◽  
Watermarking Scheme

Most of the studied quantum encryption algorithms are based on square images. In this paper, based on the improved novel quantum representation of color digital images model (INCQI), a quantum color image watermarking scheme is proposed. First, INCQI improved from NCQI is used to represent the carrier and watermark images with the size [Formula: see text] and [Formula: see text], respectively. Secondly, before embedding, the watermarking needs to be preprocessed. That is, the watermark image with the size of [Formula: see text] with 24-qubits color information is disordered by the fast bit-plane scramble algorithm, and then further expanded to an image with the size [Formula: see text] with 6-qubits pixel information by the nearest-neighbor interpolation method. Finally, the dual embedded algorithm is executed and a key image with 3-qubits information is generated for retrieving the original watermark image. The extraction process of the watermark image is the inverse process of its embedding, including inverse embedding, inverse expand and inverse scrambling operations. To show that our method has a better performance in visual quality and histogram graph, a simulation of different carrier and watermark images are conducted on the classical computer’s MATLAB.

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