Pattern-Based Data Hiding for Binary Image Authentication by Connectivity-Preserving

Yang, Huijuan; Kot, Alex C.

doi:10.1109/tmm.2006.887990

Cited by 123 publications

(69 citation statements)

References 21 publications

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“…Lie and Lin [17] proposed DCT coefficients following the Laplacian distribution model. Yang and Kot [30] and Fridrich [7] devised DCT coefficients following the GGD statistical model.…”

Section: Histogram Model Of Still Image Dct Coefficientsmentioning

confidence: 99%

A steganalysis method in the DCT domain

Mao

Niu

Xiao

et al. 2015

Multimed Tools Appl

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In this paper, we propose a steganalysis method based on the principle of additive operator, which chooses non-zero AC coefficients as carriers, with secret information independent of the carrier information flow. In the proposed method, AC coefficient statistical and energy features are initially extracted and used to construct a 3D feature vector. By employing the principle of Fisher linear discriminate analysis, a flexible discriminate classifier suitable for the extracted features is designed to improve detection performance. We infer and confirm theory of change in the statistical and energetic characteristics of the AC coefficient before and after additive steganography. The effectiveness of the proposed method is proven by the experiments. Moreover, the proposed method consistently outperforms related methods.

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“…Lie and Lin [17] proposed DCT coefficients following the Laplacian distribution model. Yang and Kot [30] and Fridrich [7] devised DCT coefficients following the GGD statistical model.…”

Section: Histogram Model Of Still Image Dct Coefficientsmentioning

confidence: 99%

A steganalysis method in the DCT domain

Mao

Niu

Xiao

et al. 2015

Multimed Tools Appl

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“…The "embeddability" of a block is invariant in the watermark embedding process; hence if want to extract watermark then it can be extracted without referring to the originl image. The "uneven embeddability" of the host image is handled by embedding the watermark in only those "embeddable" blocks in an image [1].…”

Section: Literature Surveymentioning

confidence: 99%

An Effective Authentication Method for Document Type Color Images with Data Repairing Capabilities

Kurzekar¹,

Mahajan²

2014

IJCA

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This is new authentication scheme based on the secret sharing method with a data repair capability for document type color images via the use of portable network graphics (PNG) image. And generate the authentication signals to each block of image, which together with the binarized block content, this authentication signals are transformed into a several shares using the secret sharing Scheme. The characters are carefully chosen from image so that many shares as possible are generated and embedded into an alpha channel plane. The alpha channel is combined with the original cover image to form a PNG image. While shares embedding process, the computed shares values are mapped into a range of alpha channel value near their maximum value of 255 to yield a transparent stego image. In the process of image authentication, the block in an image is marked as a tampered if the authentication signal computed from the current block content of a binary image does not match that extracted from the share embedded in the alpha channel plane. Data repair is applied to each tampered block after collecting two shares from unmarked block.

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“…Earlier a problem "uneven embeddability" has been identified in [12], in which the "flippable" pixels were distributed uniformly throughout the image by a random shuffling key. They handled this problem by embedding the watermark adaptively in those embeddable blocks.…”

Section: Related Researchmentioning

confidence: 99%

“…Improvements over the visual quality is made by choosing the edge pixels in their paper that is the problem in [12] In [12], the proposed scheme uses a secret key and a weight matrix to protect the hidden data, it also uses a weight matrix to enhance the data hiding ratio. The operator XOR is adopted so that the keys can not be compromised easily.…”

Section: Related Researchmentioning

confidence: 99%

A New Approach of Data Hiding in Images using Cryptography and Steganography

Bharti¹,

Soni²

2012

IJCA

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Cryptography is the science of using mathematics to encrypt and decrypt data and Steganography is the art and science of hiding communication; a steganographic system thus embeds hidden content in unremarkable cover media so as not to arouse an eavesdropper"s suspicion. A novel scheme for the embedding data in images is CrypSteg in this method combined cryptography and Steganography process in one algorithm. First we encrypt the data and then embed with image with new Steganography algorithm. The method is very efficient especially when applied to those images whose pixels are scattered homogeneously and for small data. The given image is partitioned into four level blocks, and the data will be embedded into selected the four diagonal subblocks values depend upon key. This algorithm only requires fewer steps and it can embed data efficiently without discarding image. Embedding 4 bits information in a 4*4 pixel block need to change very less pixels on average. Furthermore, the quality of the produced stego-images is better than that of other methods. The quality of stego-image is greatly improved when this algorithm is used.

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Pattern-Based Data Hiding for Binary Image Authentication by Connectivity-Preserving

Cited by 123 publications

References 21 publications

A steganalysis method in the DCT domain

A steganalysis method in the DCT domain

An Effective Authentication Method for Document Type Color Images with Data Repairing Capabilities

A New Approach of Data Hiding in Images using Cryptography and Steganography

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