M-Band Wavelet Based Pseudo Quantum Watermarking

2015 ◽  
Author(s):  
Tong Liu ◽  
Xuan Xu ◽  
Xiaodi Wang
Keyword(s):  
Quantum Watermarking

A Novel LSB Based Quantum Watermarking

2016 ◽  
Vol 55 (10) ◽  
pp. 4205-4218 ◽  
Author(s):  
Shahrokh Heidari ◽  
Mosayeb Naseri
Keyword(s):  
Quantum Watermarking

Optimal LSBs-based quantum watermarking with lower distortion

2018 ◽  
Vol 16 (07) ◽  
pp. 1850058 ◽  
Author(s):  
Ri-Gui Zhou ◽  
Wen Wen Hu ◽  
Gao Feng Luo ◽  
Ping Fan ◽  
Hou Ian
Keyword(s):  
Complexity Analysis ◽  
Computer Software ◽  
Quantum Circuit ◽  
Quantum Circuits ◽  
Cover Image ◽  
Absolute Value ◽  
Binary Images ◽  
Quantum Watermarking ◽  
Classical Computer ◽  
Watermarking Scheme

Based on the NEQR representation of quantum grayscale images and binary images, the optimal LSBs-based quantum watermarking scheme is investigated in this paper, which embeds several binary images (watermark images) into a grayscale image (cover image). The size of the cover image and secret image are both assumed to be [Formula: see text]. Compared to quantum simple LSBs substitution method generating one stego-pixel, our presented quantum optimal LSBs-based method can generate three stego-pixel simultaneously first. Then one of them with lowest visual distortion is chosen as the final stego-pixel. To this end, first of all, the quantum circuits for a few basic quantum modules (i.e. Quantum Comparator, Parallel CNOT, Parallel Swap, ADDER MOD, Subtracter (SUB.ER) MOD and Absolute Value) are predefined. Following that, based on these simple modules, two composite quantum modules (i.e. the ADDER and SUB.ER MOD [Formula: see text] module and Choose final stego-pixel module) are further constructed. With the help of the basic and composite quantum modules, the integrated quantum circuit implementation of the optimal LSBs-based quantum watermark images embedding/extracting procedures are illustrated. Then, the experiment result are simulated under the classical computer software MATLAB 2014(b), which illustrates our presented optimal LSBs-based quantum watermarking methods are superior to the simple LSBs scheme in terms of PSNR and histogram graphs on the basis of visual effect, and the circuit’s complexity analysis also demonstrates our investigated scheme with a very low computational complexity. Finally, we analyze the security of quantum cryptography system, which verifies the quantum watermarking data can be securely transmitted to other legal normal users.

Quantum watermarking algorithm based on chaotic affine scrambling

2019 ◽  
Vol 17 (04) ◽  
pp. 1950038
Author(s):  
RiGui Zhou ◽  
YouDe Cheng ◽  
Hou Ian ◽  
XingAo Liu
Keyword(s):  
Signal To Noise Ratio ◽  
Visual Quality ◽  
Extraction Process ◽  
Watermark Image ◽  
Signal To Noise ◽  
Quantum Watermarking ◽  
Embedding Strategy ◽  
Simulation Results ◽  
Color Value ◽  
Carrier Image

In order to improve the security of watermark image, a scheme of quantum watermarking algorithm which is based on chaotic affine scrambling is proposed and it includes scrambling, embedding and extracting procedures. In the embedding process, the position and the color of the watermark image are scrambled by chaotic affine and the size of the scrambled watermark image is extended from [Formula: see text] to [Formula: see text]. Meanwhile, the color value of the pixel is changed from 24-bits to 3-[Formula: see text](1-bit per channel) bits. The extended watermark image is embedded into the carrier image through a two-bit embedding strategy, and the extraction process is the inverse one of the embedding process. The simulation results show that the proposed scheme is superior to the comparison scheme in terms of visual quality, peak signal-to-noise ratio (PSNR).

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