Image hiding scheme with modulus function and dynamic programming strategy on partitioned pixels

Chang, Chin‐Chen; Chan, Chi-Shiang; Fan, Yi-Hsuan

doi:10.1016/j.patcog.2005.12.011

Cited by 56 publications

(37 citation statements)

References 23 publications

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“…The performance of the proposed technique has been evaluated and compared with the simple LSB technique, the Chang et al [11] technique and the Khodaei et al [10] technique for hiding an image in another image. Matlab 8 has been used for the implementation of our technique.…”

Section: Resultsmentioning

confidence: 99%

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Using PSO in Image Hiding Scheme Based on LSB Substitution

Bedi

Bansal

Sehgal

2011

Advances in Computing and Communications

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Abstract.With the massive growth in internet applications, there is a continuous need of efficient steganography techniques for the purpose of secret data communication and for the authentication and ownership identification of host data. This paper presents an efficient image hiding scheme using Particle Swarm Optimization (PSO) in the spatial domain of digital images. The proposed technique uses PSO to find the best pixel locations in an image where the secret image pixel data can be embedded. This PSO algorithm uses the Structural similarity Index (SSIM) as the objective function which is based on the simple visual effect of the human visual perception capability. As a result, the pixel positions generated by the proposed method, when used for embedding secret image data, result in minimum distortion of the host image. The results of the proposed technique have been analyzed qualitatively and quantitatively and also compared with some recent LSB techniques. The results show better stego image quality along with high embedding capacity.

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Section: Resultsmentioning

confidence: 99%

“…al. [11] proposed their dynamic programming strategy to efficiently pick the best from all substitution tables. This paper proposes an efficient data hiding method to hide an image into a gray level image imperceptibly without degrading the quality of the resultant image in which the secret image is to be hidden.…”

Section: Introductionmentioning

confidence: 99%

Using PSO in Image Hiding Scheme Based on LSB Substitution

Bedi

Bansal

Sehgal

2011

Advances in Computing and Communications

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“…The core work of PVD based methods is computing the difference of two pixels that are consecutive to specify the depth of embedded bits. Chang et al [9] the strategy of dynamic programming that proposed is pick the optimal or best via all tables of substitution efficiently. In [10] the PSO is used to hide a secret information or message in an image based on LSB and in [11] an image hiding within another image using LSB technique.…”

Section: The Related Attemptsmentioning

confidence: 99%

Information Hiding using LSB Technique based on Developed PSO Algorithm

Shukur

Jabbar

2018

IJECE

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Generally, The sending process of secret information via the transmission channel or any carrier medium is not secured. For this reason, the techniques of information hiding are needed. Therefore, steganography must take place before transmission. To embed a secret message at optimal positions of the cover image under spatial domain, using the developed particle swarm optimization algorithm (Dev.-PSO) to do that purpose in this paper based on Least Significant Bits (LSB) using LSB substitution. The main aim of (Dev.-PSO) algorithm is determining an optimal paths to reach a required goals in the specified search space based on disposal of them, using (Dev.-PSO) algorithm produces the paths of a required goals with most efficient and speed. An agents population is used in determining process of a required goals at search space for solving of problem. The (Dev.-PSO) algorithm is applied to different images; the number of an image which used in the experiments in this paper is three. For all used images, the Peak Signal to Noise Ratio (PSNR) value is computed. Finally, the PSNR value of the stego-A that obtained from blue sub-band colo is equal (44.87) dB, while the stego-B is equal (44.45) dB, and the PSNR value for the stego-C is (43.97)dB, while the vlue of MSE that obtained from the same color subbans is (0.00989), stego-B equal to (0.01869), and stego-C is (0.02041). Furthermore, our proposed method has ability to survive the quality for the stego image befor and after hiding stage or under intended attack that used in the existing paper such as Gaussian noise, and salt & pepper noise. Keyword:Cover image Developed PSO algorithm Search space Steganography Stego image

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“…[33][34][35][36][37][38][39] presented the rudimentary manner in which LSB technique works (for further study on its progression [40][41] serves as reference) which, since then, has been experimented on varied levels of LSB positions [42][43]. www.ijacsa.thesai.org "11110010 01011010 10010001 10110100 01010101 01010110 01100111 01001101" of cover image, and let letter "F" having binary "01000110"be the secret message for hiding purpose.…”

Section: A Lsb Steganography For Digital Imagesmentioning

confidence: 99%

Secure Steganography for Digital Images

Rafat¹,

Hussain²

2016

ijacsa

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Abstract-The degree of imperceptibility of hidden image in the 'Digital Image Steganography' is mostly defined in relation to the limitation of Human Visual System (HVS), its chances of detection using statistical methods and its capacity to hide maximum information inside its body. Whereas, a tradeoff does exist between data hiding capacity of the cover image and robustness of underlying information hiding scheme. This paper is an exertion to underline the technique to embed information inside the cover at Stego key dependent locations, which are hard to detect, to achieve optimal security. Hence, it is secure under worst case scenario where Wendy is in possession of the original image (cover) agreed upon by Alice and Bob for their secret communication. Reliability of our proposed solution can be appreciated by observing the differences between cover, preprocessed cover and Stego object. Proposed scheme is equally good for color as well as gray scaled images. Another interesting aspect of this research is that it implicitly presents fusion of cover and information to be hidden in it while taking care of passive attacks on it.

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Image hiding scheme with modulus function and dynamic programming strategy on partitioned pixels

Cited by 56 publications

References 23 publications

Using PSO in Image Hiding Scheme Based on LSB Substitution

Using PSO in Image Hiding Scheme Based on LSB Substitution

Information Hiding using LSB Technique based on Developed PSO Algorithm

Secure Steganography for Digital Images

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