Pixel intensity based high capacity data embedding method

Hussain, Mehdi; Hussain, Mureed

doi:10.1109/iciet.2010.5625723

Cited by 24 publications

(3 citation statements)

References 14 publications

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“…The number of LSBs to embed depends on the intensity pixel values as given in Table 1. Later on, Mehdi Hussain et al [11] improved the MKA algorithm with respect to two major aspects:…”

Section: Modified Kekre Algorithmmentioning

confidence: 99%

LSB Embedding in Spatial Domain - A Review of Improved Techniques

Goyal

Chutani

2012

IJCT

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Steganography - the art and technique of hiding information in images, audio, video or text and other cover media has evolved and developed with time. Numerous improvements have been achieved with respect to security, robustness and capacity. This paper presents a review of different LSB embedding techniques in Spatial Domain for image steganography. A variety of techniques which have evolved over time and have improved the basic LSB technique have been discussed. These techniques have also been compared on the basis of different parameters.

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“…The number of LSBs to embed depends on the intensity pixel values as given in Table 1. Later on, Mehdi Hussain et al [11] improved the MKA algorithm with respect to two major aspects:…”

Section: Modified Kekre Algorithmmentioning

confidence: 99%

LSB Embedding in Spatial Domain - A Review of Improved Techniques

Goyal

Chutani

2012

IJCT

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“…Various steganalysis techniques are also available to detect steganography [5]. This paper presents a modified version of the scheme proposed by Kekre [6] and Hussain [7] based on variable least significant bits data embedding along with the cryptography applied on the text message rather than just applying the 8 bit secret key XOR method. Other features of the proposed work are that it successfully resists the stastical attacks like histogram analysis, chi-square analysis and RS analysis.…”

Section: Introductionmentioning

confidence: 99%

High Capacity and Statistical Attacks Resistant Reversible Image Data Hiding Scheme using LSB Substitution

Savita¹,

Juneja²

2014

IJCA

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Reversible data hiding technique is advancing with each passing day. It is a form of steganography in which the hidden data can be recovered or extracted by the authorized user. In this paper, we have proposed the variable least significant bit based digital image hiding system based on LSB substitution. The proposed scheme has high security, better embedding capacity and increased imperceptibility. Also, the proposed scheme successfully resists the stastical attacks like Rs analysis, histogram analysis and chi-square analysis which adds to the efficiency of the proposed scheme.

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“…A steganography system consists of the following components [3,4]: Cover Image: It is an image that secures the secret message, and is used as a cover for transmitting the message.…”

Section: Introductionmentioning

confidence: 99%

Steganography on RGB Images Based on a “Matrix Pattern” using Random Blocks

Nilizadeh¹,

Nilchi²

2013

IJMECS

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Abstract-In this paper, we describe a novel spatial domain method for steganography in RGB images where a secret message is embedded in the blue layer of certain blocks. In this algorithm, each block first chooses a unique t 1 xt 2 matrix of pixels as a "matrix pattern" for each keyboard character, using the bit difference of neighbourhood pixels. Next, a secret message is embedded in the remaining part of the block, those without any role in the "matrix pattern" selection procedure. In this procedure, each pattern sums up with the blue layer of the image. For increasing the security, blocks are chosen randomly using a random generator. The results show that this algorithm is highly resistant against the frequency and spatial domain attacks including RS, Sample pair, X 2 and DCT based attacks. In addition, the proposed algorithm could provide more than 84.26 times of capacity comparing with a competitive method. Moreover, the results indicated that stego-image has almost 1.73 times better transparency than the competitive algorithm.

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Pixel intensity based high capacity data embedding method

Cited by 24 publications

References 14 publications

LSB Embedding in Spatial Domain - A Review of Improved Techniques

LSB Embedding in Spatial Domain - A Review of Improved Techniques

High Capacity and Statistical Attacks Resistant Reversible Image Data Hiding Scheme using LSB Substitution

Steganography on RGB Images Based on a “Matrix Pattern” using Random Blocks

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