scholarly journals RETRACTED ARTICLE: Color image watermarking in big multimedia data applications

2018 ◽  
Vol 77 (12) ◽  
pp. 16001-16001 ◽  
Author(s):  
Ju Zhu ◽  
Chao Xiong ◽  
Hongwei Du ◽  
Ruxi Xiang ◽  
Yuan Li
Keyword(s):  
Color Image ◽  
Image Watermarking ◽  
Multimedia Data ◽  
Color Image Watermarking ◽  
Retracted Article ◽  
Big Multimedia Data

Combining double random phase encoding for color image watermarking in quaternion gyrator domain

2015 ◽  
Vol 343 ◽  
pp. 56-65 ◽  
Author(s):  
Zhuhong Shao ◽  
Yuping Duan ◽  
Gouenou Coatrieux ◽  
Jiasong Wu ◽  
Jinyu Meng ◽  
...  
Keyword(s):  
Color Image ◽  
Image Watermarking ◽  
Random Phase ◽  
Color Image Watermarking ◽  
Phase Encoding ◽  
Double Random Phase Encoding ◽  
Random Phase Encoding

Efficient color image watermarking using homomorphic based SVD in DWT domain

2016 ◽  
Author(s):  
Khalid A. Al-Afandy ◽  
Osama S. Faragallah ◽  
El-Sayed M. EL-Rabaie ◽  
Fathi E. Abd El-Samie ◽  
Ahmed ELmhalawy
Keyword(s):  
Color Image ◽  
Image Watermarking ◽  
Color Image Watermarking

A secure dual-color image watermarking scheme based 2D DWT, SVD and Chaotic map

2022 ◽  
Author(s):  
Kunshu Wang ◽  
Tiegang Gao ◽  
Daotao You ◽  
Xiangjun Wu ◽  
Haibin Kan
Keyword(s):  
Color Image ◽  
Image Watermarking ◽  
Chaotic Map ◽  
Color Image Watermarking ◽  
Dual Color ◽  
Watermarking Scheme

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.

Sign in / Sign up

Export Citation Format

Share Document