Improved hiding data in images by optimal moderately-significant-bitreplacement

Chan, Chi-Shiang; Cheng, L.

doi:10.1049/el:20010714

Cited by 73 publications

(31 citation statements)

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“…[33][34][35][36][37][38][39] presented the rudimentary manner in which LSB technique works (for further study on its progression [40][41] serves as reference) which, since then, has been experimented on varied levels of LSB positions [42][43]. www.ijacsa.thesai.org "11110010 01011010 10010001 10110100 01010101 01010110 01100111 01001101" of cover image, and let letter "F" having binary "01000110"be the secret message for hiding purpose.…”

Section: A Lsb Steganography For Digital Imagesmentioning

confidence: 99%

Secure Steganography for Digital Images

Rafat¹,

Hussain²

2016

ijacsa

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Abstract-The degree of imperceptibility of hidden image in the 'Digital Image Steganography' is mostly defined in relation to the limitation of Human Visual System (HVS), its chances of detection using statistical methods and its capacity to hide maximum information inside its body. Whereas, a tradeoff does exist between data hiding capacity of the cover image and robustness of underlying information hiding scheme. This paper is an exertion to underline the technique to embed information inside the cover at Stego key dependent locations, which are hard to detect, to achieve optimal security. Hence, it is secure under worst case scenario where Wendy is in possession of the original image (cover) agreed upon by Alice and Bob for their secret communication. Reliability of our proposed solution can be appreciated by observing the differences between cover, preprocessed cover and Stego object. Proposed scheme is equally good for color as well as gray scaled images. Another interesting aspect of this research is that it implicitly presents fusion of cover and information to be hidden in it while taking care of passive attacks on it.

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Section: A Lsb Steganography For Digital Imagesmentioning

confidence: 99%

Secure Steganography for Digital Images

Rafat¹,

Hussain²

2016

ijacsa

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“…The data-hiding methods which employs two pixels as an embedding unit for hiding a message digit SB in a B-ary notational system is termed as pixel pair matching (PPM). The OPAP scheme proposed by Chi-Kwon Chan and L.M Cheng [4,5], was developed scheme modifies the embedded bits in order to improve the overall visibility of the stego image. This scheme is an improvement over the LSB based algorithm…”

Section: Embedding Techniquesmentioning

confidence: 99%

A Survey of Recent Embedding Techniques and Security Measures in Steganography

Kali¹

2014

IOSRJVSP

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“…The basic concept of the OPAP is based on the technique proposed in [21]. After applying OPAP algorithm the embedding error is reduced to 1.…”

Section: Optimal Pixel Adjustment Processmentioning

confidence: 99%

A Novel Image Steganography in Contourletdomain Using Genetic Algorithm

Ramezani¹,

Keynia²,

Ramezani³

2013

IJFCC

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Abstract-Steganography is the science that involves communicating secret data in an appropriate multimedia carrier. This paper presents the application of contourlet Transform and Genetic Algorithm (GA) in a novel steganography scheme. We employ a genetic algorithm based mapping function to embed data in Discrete contourlet Transform coefficients in 4x4blocks on the cover image. The optimal pixel adjustment process (OPAP) is applied after embedding the message. GA employed to obtain an optimal mapping function to lessen the error difference between the cover and the stego image and use the block mapping method to preserve the local image properties. Also we applied the OPAP to increase the hiding capacity of the algorithm in comparison with other systems.According to the experimental results, the proposed method is capable of providing a larger embedding capacity without causing noticeable distortions of stego-images in comparison with similar existing methods. Moreoverthe results of our experiments show that employing two of powerful steganalyzers on stego-images produced by our method, they could not discriminate between stego and clean-images reliably.Index Terms-Steganography, discrete contourlet transform, genetic algorithm, optimal pixel adjustment process.

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Improved hiding data in images by optimal moderately-significant-bitreplacement

Cited by 73 publications

References 1 publication

Secure Steganography for Digital Images

Secure Steganography for Digital Images

A Survey of Recent Embedding Techniques and Security Measures in Steganography

A Novel Image Steganography in Contourletdomain Using Genetic Algorithm

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