Fast Semi-blind Color Image Watermarking Scheme Using DWT and Extreme Learning Machine

Author(s):  
Anurag Mishra ◽  
Ankit Rajpal ◽  
Rajni Bala
Author(s):  
Kunshu Wang ◽  
Tiegang Gao ◽  
Daotao You ◽  
Xiangjun Wu ◽  
Haibin Kan

2018 ◽  
Vol 16 (07) ◽  
pp. 1850060 ◽  
Author(s):  
Ri-Gui Zhou ◽  
Peng Liu Yang ◽  
Xing Ao Liu ◽  
Hou Ian

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.


2011 ◽  
Vol 38 (3) ◽  
pp. 2081-2098 ◽  
Author(s):  
Pan-Pan Niu ◽  
Xiang-Yang Wang ◽  
Yi-Ping Yang ◽  
Ming-Yu Lu

2013 ◽  
Vol 798-799 ◽  
pp. 733-736
Author(s):  
Xiu Hu Tan

Transparency and robustness are two conflicting requirements demanded by digital image watermarking for copyright protection and many other purposes. In this paper, a robust and transparent watermarking scheme for color images is proposed. The color features for the human visual system are utilized to design the color watermarking algorithm. The basic idea is to embed the invisible watermark into the color image by brightness adjustment and feature component choice. And through analysis and constraint the conditions, we can obtain a high detection probability and security, a low false alarm probability. In the same time, because we use different matrix operation to embed (secret key) and extract (public key) a watermark, we are able to release all information for the public, except the secret key. Our method can extract the embedded watermark without reference image. The robustness of our method is demonstrated by various attacks through computer simulation.


2018 ◽  
Vol 16 (03) ◽  
pp. 1850021 ◽  
Author(s):  
Ri-Gui Zhou ◽  
Wenwen Hu ◽  
Ping Fan ◽  
Gaofeng Luo

In this paper, a quantum color image watermarking scheme is proposed through twice-scrambling of Arnold transformations and steganography of least significant bit (LSB). Both carrier image and watermark images are represented by the novel quantum representation of color digital images model (NCQI). The image sizes for carrier and watermark are assumed to be [Formula: see text] and [Formula: see text], respectively. At first, the watermark is scrambled into a disordered form through image preprocessing technique of exchanging the image pixel position and altering the color information based on Arnold transforms, simultaneously. Then, the scrambled watermark with [Formula: see text] image size and 24-qubit grayscale is further expanded to an image with size [Formula: see text] and 6-qubit grayscale using the nearest-neighbor interpolation method. Finally, the scrambled and expanded watermark is embedded into the carrier by steganography of LSB scheme, and a key image with [Formula: see text] size and 3-qubit information is generated at the meantime, which only can use the key image to retrieve the original watermark. The extraction of watermark is the reverse process of embedding, which is achieved by applying a sequence of operations in the reverse order. Simulation-based experimental results involving different carrier and watermark images (i.e. conventional or non-quantum) are simulated based on the classical computer’s MATLAB 2014b software, which illustrates that the present method has a good performance in terms of three items: visual quality, robustness and steganography capacity.


2012 ◽  
Vol 5 (2) ◽  
pp. 811-814
Author(s):  
Chen Yongqiang ◽  
Hu Hanping ◽  
Ling Hefei ◽  
Peng Lisen

2013 ◽  
Vol 278-280 ◽  
pp. 1366-1373 ◽  
Author(s):  
Zi Teng ◽  
Xiu Feng Qiu ◽  
Jian Wei Liu

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.


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