A novel steganographic method based on edge detection and adaptive multiple bits substitution

Iranpour, Mehran

doi:10.1109/icdsp.2013.6622828

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…3. Suppose a pixel pair (7,8) and a digit 9 16 . The modulus distance is d=(9 -7) mod 16=2 and b x 2 ; b y 2 ð Þ = (2, 0).…”

Section: Hong and Chen's Methodsmentioning

confidence: 99%

“…Next, the coefficients are embedded into the pixel pair. Iranpour introduced a novel method based on edge detection and adaptive multiple bits substitution [16]. In his scheme, multiple bits of secret data are adaptively embedded into k-LSBs of the edge pixels, where the value k depends on the gradient magnitude of each pixel.…”

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confidence: 99%

“…In terms of the embedding domains, image steganographic algorithms can be classified into two types; the ones that embed in the spatial domain [15][16][17][18]29] and the others that embed in the frequency domain [9,30]. The LSB-based steganography [20,21,28] is the most popular approach in the spatial domain, in which the least significant bits of a cover image are overwritten with the data bit stream in a route according to a pseudorandom number generator (PRNG).…”

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confidence: 99%

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An efficient steganographic framework based on dynamic blocking and genetic algorithm

Iranpour

Rahmati

2014

Multimed Tools Appl

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An important property of any robust steganographic method is that it must introduce minimal distortion in the created stego-images. This objective is achieved if one can maximize the similarity between the pixels value of the cover image and the secret data. In the proposed framework, the maximal similarity is obtained by arranging some routes along the pixel positions. Our novel method is based on dynamic blocking and the genetic algorithm which decreases the distortion produced by a base data embedding method. In the proposed parametric framework, the cover image is first divided into several horizontal static-size strips. Then each strip is partitioned into some dynamic-size blocks. The size of each block is determined using the genetic algorithm such that minimal distortion is produced. Traversing the blocks of a strip in a raster scan manner, the route for embedding the data into the strip is obtained. The best route is considered to be the one which partition a strip into different blocks with different sizes. The embedding route is raster scan of the partitioned blocks. In our framework, only the sizes of the blocks need to be recorded as the overhead instead of the routes. The experimental results evaluated on 2000 natural images using several steganalytic algorithms demonstrate that our proposed method decreases the image distortion and thus enhances the security.

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“…3. Suppose a pixel pair (7,8) and a digit 9 16 . The modulus distance is d=(9 -7) mod 16=2 and b x 2 ; b y 2 ð Þ = (2, 0).…”

Section: Hong and Chen's Methodsmentioning

confidence: 99%

mentioning

confidence: 99%