Data hiding in digital binary image

Wu, Min; Tang, Eric; Lin, Baowei

doi:10.1109/icme.2000.869623

Cited by 100 publications

(3 citation statements)

References 6 publications

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“…The number of black pixels in each block can be even or odd; therefore, another line of researches flip pixel(s) to control the odevity of the number of black pixels in each block to embed one bit of secret data. By considering the connectively and smoothness of the pixels in the block, Wu et al [13,14] define a flippability score to choose pixel to flip for embedding data. Another novel flippability criterion is proposed in [15] to find more suitable pixel to flip.…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding for binary images based on adaptive overlapping pattern

Dong

Kim

et al. 2020

EURASIP J. on Info. Security

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Pattern substitution (PS) method (Ho et al., Comput. Stand. Interfaces 31:787-794, 2009) is a recent reversible data hiding method for binary images. It generates one pattern pair, the patterns in which are called PM and PF, and substitutes between them to embed one bit. Two types of PS have been proposed: non-overlapping PS and overlapping PS. However, Dong et al. (ETRI J. 37:990-1000(ETRI J. 37:990- , 2015 states that the overlapping PS sometimes cannot decode correctly, which is called as miscoding problem. Moreover, to the PS-based methods (Ho et al., Comput.

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Section: Introductionmentioning

confidence: 99%

Reversible data hiding for binary images based on adaptive overlapping pattern

Dong

Kim

et al. 2020

EURASIP J. on Info. Security

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show abstract

“…So far, there were only a few studies on data hiding in binary images and very few researches on authentication of binary images. Wu, Tang, and Liu [1] embedded bits in image blocks by pattern matching; the method can be used both for data hiding and image authentication. The method proposed by Pan, Chen, and Tseng [2] changed pixel values in image blocks to hide secret data by mapping block contents into the secret data.…”

Section: Introductionmentioning

confidence: 99%

Tamper Detection in Text Document

Mousa

2008

Baghdad Sci.J

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Although text document images authentication is difficult due to the binary nature and clear separation between the background and foreground but it is getting higher demand for many applications. Most previous researches in this field depend on insertion watermark in the document, the drawback in these techniques lie in the fact that changing pixel values in a binary document could introduce irregularities that are very visually noticeable. In this paper, a new method is proposed for object-based text document authentication, in which I propose a different approach where a text document is signed by shifting individual words slightly left or right from their original positions to make the center of gravity for each line fall in with the middle point of intended line. Any modification, addition or deletion in a letter, word, or line in the document will be detected.

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“…The image is transformed into bits which represent the watermark bits. The bits are embedded in carefully chosen locations in database and if recovered correctly can be used to reconstruct the embedded image [26,28] . This class of watermarking methods can be considered as a sub-class of the bit-level watermarking class.…”

Section: Statistical-property Watermarking Algorithmsmentioning

confidence: 99%

Robust and Blind Watermarking of Relational Database Systems

Al-Haj¹,

Odeh²

2008

J. of Computer Science

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Problem statement: Digital multimedia watermarking technology was suggested in the last decade to embed copyright information in digital objects such images, audio and video. However, the increasing use of relational database systems in many real-life applications created an ever increasing need for watermarking database systems. As a result, watermarking relational database systems is now merging as a research area that deals with the legal issue of copyright protection of database systems. Approach: In this study, we proposed an efficient database watermarking algorithm based on inserting binary image watermarks in non-numeric mutli-word attributes of selected database tuples. Results: The algorithm is robust as it resists attempts to remove or degrade the embedded watermark and it is blind as it does not require the original database in order to extract the embedded watermark. Conclusion: Experimental results demonstrated blindness and the robustness of the algorithm against common database attacks.

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Data hiding in digital binary image

Cited by 100 publications

References 6 publications

Reversible data hiding for binary images based on adaptive overlapping pattern

Reversible data hiding for binary images based on adaptive overlapping pattern

Tamper Detection in Text Document

Robust and Blind Watermarking of Relational Database Systems

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