A Novel Gray Code based Image Steganography Model for Covert Communication

2018 ◽  
Vol 6 (6) ◽  
pp. 1279-1288
Author(s):  
Sangeeta . ◽  
Jyoti Pandey ◽  
Kamaldeep Joshi ◽  
Rainu Nandal
Keyword(s):  
Gray Code ◽  
Image Steganography ◽  
Covert Communication

scholarly journals Digital image steganography and steganalysis: A journey of the past three decades

2020 ◽  
Vol 10 (1) ◽  
pp. 296-342
Author(s):  
Aditya Kumar Sahu ◽  
Monalisa Sahu
Keyword(s):  
Digital Image ◽  
Image Steganography ◽  
The Other ◽  
Current Status ◽  
Covert Communication ◽  
Hiding Capacity ◽  
The Past ◽  
Science And Art ◽  
Recent Developments ◽  
Fair Balance

AbstractSteganography is the science and art of covert communication. Conversely, steganalysis is the study of uncovering the steganographic process. The evolution of steganography has been paralleled by the development of steganalysis. In this game of hide and seek, the two player’s steganography and steganalysis always want to break the other down. Over the past three decades, research has produced a plethora of remarkable image steganography techniques (ISTs). The major challenge for most of these ISTs is to achieve a fair balance between the metrics such as high hiding capacity (HC), better imperceptibility, and improved security. This study aims to present an exhaustive scrutiny of various ISTs from the classical to recent developments in the spatial domain, with respect to various image steganographic metrics. Further, the current status, recent developments, open challenges, and promising directions in this field are also highlighted.

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.

Steganalysis of adaptive image steganography in multiple gray code bit-planes

2010 ◽  
Vol 57 (3) ◽  
pp. 651-667 ◽  
Author(s):  
Xiangyang Luo ◽  
Fenlin Liu ◽  
Chunfang Yang ◽  
Shiguo Lian ◽  
Ying Zeng
Keyword(s):  
Gray Code ◽  
Image Steganography ◽  
Bit Planes

RGB Frequency Based Image Steganography

2020 ◽  
pp. 549-553
Author(s):  
Himanshu Kumar ◽  
Nitesh Kumar
Keyword(s):  
Image Steganography ◽  
Minimum Number

In this paper, we introduced a new RGB technique for image steganography. In this technique we introduced the idea of storing a different number of bits per channel (R, G or B) of a pixel based on the frequency of color values of pixel. The higher color frequency retains the maximum number of bits and lower color frequency stores the minimum number of bits.

Improved LSB method for Image Steganography using H´enon Chaotic Map

2014 ◽  
Vol 2014 (1) ◽  
pp. 34-42 ◽  
Author(s):  
N. S. Raghava ◽  
◽  
Ashish Kumar ◽  
Aishwarya Deep ◽  
Abhilasha Chahal ◽  
...  
Keyword(s):  
Chaotic Map ◽  
Image Steganography

Gray-Code Ranking and Unranking on Left-Weight Sequences of Binary Trees

2016 ◽  
Vol E99.A (6) ◽  
pp. 1067-1074 ◽  
Author(s):  
Ro-Yu WU ◽  
Jou-Ming CHANG ◽  
Sheng-Lung PENG ◽  
Chun-Liang LIU
Keyword(s):  
Gray Code ◽  
Binary Trees
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