Performance Analysis of Digital Image Steganographic Algorithm

Jambhekar, N. D.; Dhawale, Chitra A.; Hegadi, Rajendra

doi:10.1145/2677855.2677937

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…This mechanism is referred as Random or scattered LSB [17] and it offers more payload capacity [29]. Neil F. Johnson [20] proposed a method that sharp areas can hide large amount of data if it is applied at edge image and it cannot hide more data when it works at smooth images. Odai et al [1] proposed an algorithm based on different size image segmentations (DSIS) and modified least significant bits (MLSB), where the DSIS algorithm has been applied to embed a secret image randomly instead of sequentially.…”

Section: Jpeg2000 / Jpeg2kmentioning

confidence: 99%

Image Steganography: Critical Findings through Some Novel Techniques

Nabi,

Afzal

2020

IJITEE

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Word 'Steganography' is originated from Greekand has been used in several forms for 2500 years which is a art of hiding confidential data in any digital manner in such a way that no one can concealed it. It has found practise in various section like in military, government, diplomatic, medical, personal Interest) is highlighted. In addition, different types of Image file used in image steganography and performance parameter are discuss well. and intelligence agencies. This survey paper put the light on the basic of image steganography along with its different techniques and sub-techniques. Cover selection with recent trend ROI (region Of

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Section: Jpeg2000 / Jpeg2kmentioning

confidence: 99%

Image Steganography: Critical Findings through Some Novel Techniques

Nabi,

Afzal

2020

IJITEE

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“… Structural Content (SC): This analyzes the similar regions in both the cover and stego images. [4] Researchers N.D. Jambhekar et.al. here have utilized the steganographic technique, the mystery message is embedded such that the message can be extricated without influencing the cover picture, to loose its permeability.…”

Section: Comparative Analysis Of Steganographic Algorithms Within Compressed Video Domain[3]mentioning

confidence: 99%

A Comparative Performance Analysis of Steganographic Schemes: Slsbs, VLSBS and MSB-LSB

2018

IJLTET

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Steganography is one of the most popular security mechanisms which is widely adopted in today's world for secure data communication in multiple domains. Steganography refers to 'concealed writing' where the goal is to veil the existence of data in transit in a cover medium (here image is considered) thereby ensuring data privacy. Three different steganographic schemes; namely Simple Least Significant Bit Substitution (SLSBS), Variable Least Significant Bit Substitution (VLSBS) and Most Significant Bit-Least Significant Bit (MSB-LSB) Substitution schemes are analyzed in this work. A detailed literature survey is rendered in the steganography domain, to investigate some of the widely adopted popular steganographic metrics employed nowadays. Some such metrics like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) , Normalized Cross Correlation (NCC), Normalized Absolute Error (NAE), Average Difference (AD), Maximum Difference (MD), Structural Content (SC) etc have been computed and investigated for the above mentioned steganographic schemes for comparative performance analysis.

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“…This technique was further implemented as a screen-camera communication device by considering each pixel in the display and camera as a transmitting and receiving antenna [21]. To achieve hidden communication between the display and camera, various time and transform domain image steganographic methods were introduced [22][23][24][25]. From the captured images, specifically ROI, having few straight lines, were detected by Hough transform (HT) [26].…”

Section: Introductionmentioning

confidence: 99%

An Integrated Object Tracking and Covert Visual MIMO Communication Service for Museum Security System Using Single Vision Sensor

et al. 2018

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This paper explores the spatial coverage potential of a vision sensor to implement a dual service for a museum security system. Services include object monitoring and invisible visual Multiple-Input and Multiple-Output (MIMO) communication. For object monitoring, the Kalman filter algorithm is used. To implement a secret visual MIMO communication, an Adaptive Row-Column (ARC)-based LSB substitution technique is used along with the Integer Wavelet Transform method. These proposed services are implemented using existing electronic visual displays and surveillance cameras. Experiments are carried out using a sample object and four stego images. The performance of the object tracking system is measured in terms of accuracy by comparing the actual and estimated position of an object. Similarly, the performance of the covert visual MIMO system is measured at two different stages. On the transmitter side, differences between the cover and stego-images are used to measure imperceptibility. Likewise, at the receiver, differences between the original and the reconstructed data images are used to measure the accuracy. Results illustrate that the proposed system has improved imperceptibility, accuracy, and robustness, as compared to existing techniques.

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Performance Analysis of Digital Image Steganographic Algorithm

Cited by 4 publications

References 18 publications

Image Steganography: Critical Findings through Some Novel Techniques

Image Steganography: Critical Findings through Some Novel Techniques

A Comparative Performance Analysis of Steganographic Schemes: Slsbs, VLSBS and MSB-LSB

An Integrated Object Tracking and Covert Visual MIMO Communication Service for Museum Security System Using Single Vision Sensor

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