Lossless Data Hiding Scheme Based on Adjacent Pixel Difference

Li, Zhuo; Chen, Xiaoping; Pan, Xuezeng; Zeng, Xiaoyan

doi:10.1109/iccet.2009.40

Cited by 29 publications

(15 citation statements)

References 6 publications

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“…the impossibility of recovering the secret bits without errors, owing to the use of log 2 , which is also used in the extraction that produces floating point values, and since in the 2x2 blocks, the leading value (i.e., block(1,1)) is left unaltered, thus this would lead to the destruction of the natural strong correlation between adjacent pixels which would advertise a nonnatural process involvement Histogram-based data hiding is another commonly used data hiding scheme. Li et al [35] propose lossless data hiding using the difference value of adjacent pixels. It is classified under ' 1 ' data embedding algorithms.…”

Section: Steganography In the Image Spatial Domainmentioning

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: Steganography In the Image Spatial Domainmentioning

confidence: 99%

Digital image steganography: Survey and analysis of current methods

et al. 2010

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“…For instance, instead of proposing an embedding technique, a spatial domain technique in producing a fingerprinted secret sharing steganography for robustness against image cropping attacks is used in [10]. In addition, another used data hiding scheme histogram-based data hiding, given in [11], proposed lossless data hiding, using the difference value of adjacent pixels. Moreover, an alphabet punctuation for hiding messages is exploited in [12].…”

Section: Discrete Fourier Transform (Dft) Methods Discrete Cosine Tranmentioning

confidence: 99%

Protecting Information with Subcodstanography

Köhler

Lukić

Križanović

2017

Security and Communication Networks

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In modern communication systems, one of the most challenging tasks involves the implementation of adequate methods for successful and secure transfer of confidential digital information over an unsecured communication channel. Many encryption algorithms have been developed for protection of confidential information. However, over time, flaws have been discovered even with the most sophisticated encryption algorithms. Each encryption algorithm can be decrypted within sufficient time and with sufficient resources. The possibility of decryption has increased with the development of computer technology since available computer speeds enable the decryption process based on the exhaustive data search. This has led to the development of steganography, a science which attempts to hide the very existence of confidential information. However, the stenography also has its disadvantages, listed in the paper. Hence, a new method which combines the favourable properties of cryptography based on substitution encryption and stenography is analysed in the paper. The ability of hiding the existence of confidential information comes from steganography and its encryption using a coding table makes its content undecipherable. This synergy greatly improves protection of confidential information.

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“…Data hiding in spatial domain has a very large impact in data hiding area. [14], [15], [16], [17] all belong to this category. A problem with these methods is that they often require a sequence generator to locate pixels that hide data and therefore they have a weak resistance to intentional attack.…”

Section: Related Workmentioning

confidence: 96%

3D surface stagnography using geometry images

Huang

Iyengar

2011

2011 6th International Conference on Computer Science &Amp; Education (ICCSE)

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This paper presents a new 3-d data hiding scheme. By using geometry images, we transform the 3-d data hiding problem into the 2-d image data hiding problem where efficient algorithms can be applied. A modified LSB embedding approach is proposed to embed payload in geometry images. Experimental results show that a large amount of payload can be embedded in the 3-d model without causing too much deformation of the 3-d model. In the end of the paper, we propose a completely new representation of 3-d model as an application of our data hiding method.

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Lossless Data Hiding Scheme Based on Adjacent Pixel Difference

Cited by 29 publications

References 6 publications

Digital image steganography: Survey and analysis of current methods

Digital image steganography: Survey and analysis of current methods

Protecting Information with Subcodstanography

3D surface stagnography using geometry images

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