A new steganographic method for color and grayscale image hiding

Yu, Yuanhui; Chang, Chin‐Chen; Lin, Iuon-Chang

doi:10.1016/j.cviu.2006.11.002

Cited by 65 publications

(25 citation statements)

References 17 publications

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“…It is defined as: ) ( MSE C log 10 PSNR 2 max 10 (7) where MSE denotes Mean Square Error which is given as: ) ( Many authors [39,42,81,82,83,84], consider C max =255 as a default value for 8-bit images. It can be the case, for instance, that the examined image has only up to 253 or fewer representations of gray colours.…”

Section: Analysis and Recommendationsmentioning

confidence: 99%

Digital image steganography: Survey and analysis of current methods

et al. 2010

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Steganography is the science that involves communicating secret data in an appropriate multimedia carrier, e.g., image, audio, and video files. It comes under the assumption that if the feature is visible, the point of attack is evident, thus the goal here is always to conceal the very existence of the embedded data. Steganography has various useful applications. However, like any other science it can be used for ill intentions. It has been propelled to the forefront of current security techniques by the remarkable growth in computational power, the increase in security awareness by, e.g., individuals, groups, agencies, government and through intellectual pursuit. Steganography's ultimate objectives, which are undetectability, robustness (resistance to various image processing methods and compression) and capacity of the hidden data, are the main factors that separate it from related techniques such as watermarking and cryptography. This paper provides a state-of-the-art review and analysis of the different existing methods of steganography along with some common standards and guidelines drawn from the literature. This paper concludes with some recommendations and advocates for the object-oriented embedding mechanism. Steganalysis, which is the science of attacking steganography, is not the focus of this survey but nonetheless will be briefly discussed.

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Section: Analysis and Recommendationsmentioning

confidence: 99%

Digital image steganography: Survey and analysis of current methods

et al. 2010

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“…The schemes that depends on a key needs to be shared with the recipient, while dealing with the schemes which do not use any key their robustness of the embedding architecture relays on the type of algorithm used. On simple words it refers to the positioning of data in a particular random sequence such as raster [10,[16][17][18], or any other random scan [13,21,22]. The proposed work inherits the randomness through the upper nibble of the respective pixel and scrambles the data accordingly.…”

Section: Related Workmentioning

confidence: 99%

“…A successful eavesdropping attempt to a steganographic scheme is to detect and sometimes retrieve the hidden message where as in copyright protection it is not enough to detect but remove the mark. An efficient steganographic scheme should have high imperceptibility, randomization and capacity.In this paper we propose few novel steganographic schemes in Image steganography [8,17,18,19] which improvise the randomization [20]. The main idea of the schemes stated in this paper is based on the principle of embedding the data in the bits of least significant nibble (LSN) by considering the data bits present in the most significant nibble (MSN).…”

Section: Introductionmentioning

confidence: 99%

“…However the existence of communication is known to the snooper and this may lead to attempts to decrypt, modify or destroy the data. This lead to evaluation of new technique called STEGANOGRAPHY [1-5, 7, 9, 16, 20] which expends data hiding [14,16,17].The word steganography was adopted from Greek literature which means -covered writing‖ [2,3]. The usage of steganographic techniques dates back to prehistoric periods which refer to usage of invisible inks, text on wax-covered tablets, communicating hidden messages in music etc.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Randomization in Image Steganography Pertaining to Most Significant Nibble

Rakesh¹,

Devathi²,

Sekaran³

et al. 2011

IJCA

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With innovations ruling the world, there has been a phenomenal growth of e-commerce leading to a lot of transactions taking place online in Internet. To safely transfer data, an existing technique called steganography is used. The goal of steganography is to insert a message into a carrier signal so that it can't be detected by unintended recipients. Images, video, and audio being the widespread carrier media steganalysis attempts to discover hidden messages in suspected covers are at the least detectable when they are more randomized. Therefore one of the important considerations in steganography is to have a meliorated randomization technique. To provide better randomization we propose few techniques in image steganography which use adaptive way of randomization by embedding the data in to the bits of -least significant nibble‖ pertaining to bits in -most significant nibble‖.

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“…But this system cannot forestall the unintended users to identify the transmission of message. STEGANOGRAPHY [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], a sib of the previous technique evolved later which hides the message in unsuspicious cover and provides better security by making the communication invisible. In fact the term steganography in linguistic form is in use centuries ago which cites the usage of Invisible inks, wax tablets etc [17].…”

Section: Introductionmentioning

confidence: 99%

Message Guided Adaptive Random Steganography using Countingout Embedding

Rakesh¹,

Devathi²,

Sekhar³

et al. 2011

IJCA

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Digital data protection turns out to be the most essential constituent in the cyber world where digital crime is mounting to its worst. To establish secured data communication a technique called Steganography, one of the fruitful attempts for data hiding, has evolved. The rationale of this scheme is to blot out the message in to an innocuous cover media. For good stego system imperceptibility, randomization and capacity are the important considerations. In this paper we propose a novel keyless random algorithm in image steganography which induces an enhanced security by incorporating "counting-out" embedding. It uses message bits embedded in the current pixel which acts as a key for the next pixel to which data is to be embedded. This method provides adaptive randomization without affecting the imperceptibility and capacity.

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A new steganographic method for color and grayscale image hiding

Cited by 65 publications

References 17 publications

Digital image steganography: Survey and analysis of current methods

Digital image steganography: Survey and analysis of current methods

Adaptive Randomization in Image Steganography Pertaining to Most Significant Nibble

Message Guided Adaptive Random Steganography using Countingout Embedding

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