A Novel Self-adaptive Quantum Steganography Based on Quantum Image and Quantum Watermark

2016 ◽  
pp. 394-403 ◽  
Author(s):  
Zhiguo Qu ◽  
Huangxing He ◽  
Songya Ma
Keyword(s):  
Quantum Steganography ◽  
Quantum Image ◽  
Self Adaptive

Quantum steganography based on reflected gray code for color images

2020 ◽  
Vol 14 (3) ◽  
pp. 291-312
Author(s):  
Hong Xiao ◽  
Panchi Li
Keyword(s):  
Gray Code ◽  
Image Steganography ◽  
Cover Image ◽  
Embedding Capacity ◽  
Quantum Steganography ◽  
Stego Image ◽  
Quantum Image ◽  
Image Pixels ◽  
Quantum Image Steganography ◽  
Digital Steganography

Digital steganography is the art and science of hiding information in covert channels, so as to conceal the information and prevent the detection of hidden messages. On the classic computer, the principle and method of digital steganography has been widely and deeply studied, and has been initially extended to the field of quantum computing. Quantum image steganography is a relatively active branch of quantum image processing, and the main strategy currently used is to modify the LSB of the cover image pixels. For the existing LSB-based quantum image steganography schemes, the embedding capacity is no more than 3 bits per pixel. Therefore, it is meaningful to study how to improve the embedding capacity of quantum image steganography. This work presents a novel steganography using reflected Gray code for color quantum images, and the embedding capacity of this scheme is up to 6 bits per pixel. In proposed scheme, the secret qubit sequence is considered as a sequence of 6-bit segments. For 6 bits in each segment, the first 3 bits are embedded into the second LSB of RGB channels of the cover image, and the remaining 3 bits are embedded into the LSB of RGB channels of the cover image using reflected-Gray code to determine the embedded bit from secret information. Following the transforming rule, the LSBs of stego-image are not always same as the secret bits and the differences are up to almost 50%. Experimental results confirm that the proposed scheme shows good performance and outperforms the previous ones currently found in the literature in terms of embedding capacity.

A novel quantum steganography scheme for color images

2018 ◽  
Vol 16 (02) ◽  
pp. 1850020 ◽  
Author(s):  
Panchi Li ◽  
Xiande Liu
Keyword(s):  
Gray Code ◽  
Color Images ◽  
Quantum Circuits ◽  
Embedding Capacity ◽  
Quantum Steganography ◽  
Quantum Image ◽  
Simulation Results ◽  
Color Pixel ◽  
Classical Computer ◽  
Rules Extraction

In quantum image steganography, embedding capacity and security are two important issues. This paper presents a novel quantum steganography scheme using color images as cover images. First, the secret information is divided into 3-bit segments, and then each 3-bit segment is embedded into the LSB of one color pixel in the cover image according to its own value and using Gray code mapping rules. Extraction is the inverse of embedding. We designed the quantum circuits that implement the embedding and extracting process. The simulation results on a classical computer show that the proposed scheme outperforms several other existing schemes in terms of embedding capacity and security.

Self-zeroing self-adaptive control system

1963 ◽  
Vol 110 (12) ◽  
pp. 2280
Author(s):  
P.N. Nikiforuk ◽  
E.K. Lashyn
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Adaptive Control System ◽  
Self Adaptive

Self-Adaptive and Adaptive Parameter Control in Improved Artificial Bee Colony Algorithm

Informatica ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 415-438 ◽  
Author(s):  
Bekir Afşar ◽  
Doğan Aydin ◽  
Aybars Uğur ◽  
Serdar Korukoğlu
Keyword(s):  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Parameter Control ◽  
Adaptive Parameter ◽  
Bee Colony ◽  
Adaptive Parameter Control ◽  
Self Adaptive

Fuzzy Self-Adaptive Soccer Robot Behavior Decision System Design through ROS

2018 ◽  
Vol 62 (3) ◽  
pp. 304011-3040111 ◽  
Author(s):  
Shih-An Li ◽  
Hsuan-Ming Feng ◽  
Sheng-Po Huang ◽  
Chen-You Chu
Keyword(s):  
System Design ◽  
Soccer Robot ◽  
Decision System ◽  
Robot Behavior ◽  
Self Adaptive

Self adaptive filtering of environmental noises from speech

1984 ◽  
Author(s):  
D. GRAUPE ◽  
J. GROSSPIETSCH ◽  
S. BASSEAS
Keyword(s):  
Adaptive Filtering ◽  
Self Adaptive
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