LSB based non blind predictive edge adaptive image steganography

Chakraborty, Soumendu; Jalal, Anand Singh; Bhatnagar, Charul

doi:10.1007/s11042-016-3449-4

Cited by 58 publications

(22 citation statements)

References 31 publications

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“…Chakraborty, et. al., proposed hiding a secret data in the carrier photo by using modified median edge detection to select the area of carrier picture, the confidential data is then inclusion in the edge area of the cover picture [3]. Ahmed T, Thahab proposed Burrows Wheeler Transform used to divide the cover image into non-nested blocks before embedding and the confidential information is inclusion in each block according to their sequence in the output of the Burrows Wheeler Transform.…”

Section: Related Workmentioning

confidence: 99%

Hide text depending on the three channels of pixels in color images using the modified LSB algorithm

Neamah¹,

Abed²,

Abbood³

2020

IJECE

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At the moment, with the great development of information and communications technology, the transfer of confidential and sensitive data through public communications such as the Internet is very difficult to keep them from hackers and attackers. Therefore, it is necessary to work on the development of new and innovative ways to transfer such information and protect it to ensure that it reaches the desired goal. The goal of a new technique to hide information design not only hides the secret message behind the center cover, but it also provides increased security. The most common way to transfer important and confidential data is through embedding it into cover medium files in a way that does not affect the accuracy of the carrier file, which is known as hiding. In this paper, encryption and concealment techniques were used to protect data transferred from attackers. The proposed method relied on encryption of confidential information using the encryption key and the Xnor gate, after which the encrypted information was hidden in a color image using the LSB algorithm. The method of concealment depends on the extraction of chromatic channels of three RGB for each pixel and specifying the channel in which the bit of the encryption message will be hidden. Some metrics have been adopted to measure the quality of the resulting picture after hiding as PSNR and MSE, and achieve good results.

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Section: Related Workmentioning

confidence: 99%

Hide text depending on the three channels of pixels in color images using the modified LSB algorithm

Neamah¹,

Abed²,

Abbood³

2020

IJECE

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“…Chakraborty, et. al., [16] devised edge predictor named Modified Median Edge Detector (MMED) along with the adaptive strategy for selecting edge portion of a cover image. The binary payload is then embedded in the edge area of the cover image.…”

Section: Related Workmentioning

confidence: 99%

Variant of LSB Steganography Algorithm for Hiding Information in RGB Images

Mandal¹,

Kahar²

2017

IJSIP

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“…If we hide in smooth regions distortion will be more. Based on the level of complexity of the edge regions, adaptive embedding can be applied [16]. In this way capacity can be increased and chance of detection can be decreased.…”

Section: Introductionmentioning

confidence: 99%

Digital Image Steganography Using Eight-Directional PVD against RS Analysis and PDH Analysis

Swain

2018

Advances in Multimedia

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The least significant bit (LSB) substitution techniques are detected by RS analysis and the traditional pixel value differencing (PVD) approaches are detected by pixel difference histogram (PDH) analysis. The PVD steganography can escape from PDH analysis by using the edges in multiple directions. This paper proposes a steganography technique by exploiting the edges in eight directions and also using LSB substitution to resist from both RS analysis and PDH analysis. For every 3×3 pixel block the central pixel is embedded with 3 or 4 bits of data by modified LSB substitution technique. Then this new value of the central pixel is utilized to calculate eight difference values with eight neighboring pixels. These eight difference values are used to hide the data. There are two types with regard to two different range tables. Type 1 uses 3 bit modified LSB substitution and range table 1. Type 2 uses 4 bit modified LSB substitution and range table 2. Type 1 and type 2 are also known as variant 1 and variant 2, respectively. Type 1 possesses higher PSNR and type 2 possesses higher hiding capacity.

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LSB based non blind predictive edge adaptive image steganography

Cited by 58 publications

References 31 publications

Hide text depending on the three channels of pixels in color images using the modified LSB algorithm

Hide text depending on the three channels of pixels in color images using the modified LSB algorithm

Variant of LSB Steganography Algorithm for Hiding Information in RGB Images

Digital Image Steganography Using Eight-Directional PVD against RS Analysis and PDH Analysis

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