A Secure Image Steganography using LSB, DCT and Compression Techniques on Raw Images

Raja, K B; Chowdary, C. Ravindranath; Venugopal, K R; Patnaik, L. M.

doi:10.1109/icisip.2005.1619431

Cited by 108 publications

(49 citation statements)

References 9 publications

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“…According to Raja et al [43] Fast Fourier Transform (FFT) methods introduce round off errors; thus it is not suitable for hidden communication. However, Johnson and Jajodia [1], thought differently and included it among the used transformations in steganography and McKeon [44] utilised the 2D Discrete Fourier Transform (DFT) to generate Fourier based steganography in movies.…”

Section: Steganography In the Image Frequency 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 Frequency Domainmentioning

confidence: 99%

Digital image steganography: Survey and analysis of current methods

et al. 2010

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“…Table 6 below depicts the results achieved on performing the experiment. In [6] there is another major problem like [5], that is, the algorithm cannot be applied on RGB images. So, first of all the color images need to be converted to grayscale images before.…”

Section: Discussionmentioning

confidence: 99%

“…The algorithm was run on the same datasets like [5]. Here the basic problem is same as that of [5] that is on decreasing the LSB value the stego image has a high correlation value. But the quality of the extracted image is poor when compared to the hidden image.…”

Section: Discussionmentioning

confidence: 99%

“…In [5] the authors have used the Least Significant Bitembedding algorithm to conceal an image in the cover image. The combination of the cover image and the hidden image forms the stego image.…”

Section: Discussionmentioning

confidence: 99%

“…In [5] an image based steganography is presented where the researchers have used Least Significant Bit (LSB) for generating the stego-image, Discrete Cosine Transform (DCT) for transforming stego-image from spatial domain into the frequency domain. Quantization and runlength coding algorithms are used in order to compressing the stego-images in order to improve the security.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Translation and Retrieval of Image Information to and from Sound

Hossain¹,

Chaki²,

Parekh³

2014

IJCA

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With the rapid growth of both Internet and Multimedia the subject of hidden exchange of information has gained a great importance. The current work is based on translation of information of a digitized image into a sound file. Later the image file can be retrieved by authorized personnel by performing the reverse process on the sound file. The three dimensional RGB image matrix is converted into a two dimensional sound file. During the retrieving time, the reverse procedure is performed on the sound file in order to get back the original image file.

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Application of Lah transform for security and privacy of data through information hiding in telecommunication

Ghosal¹,

Mukhopadhyay

Hossain

et al. 2020

Trans Emerging Tel Tech

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Due to rapid growth of digital communication attributed to advancement of Internet technologies, at every time instant huge amount of multimedia information is created and transmitted on the Internet. However, ownership identification, copyright violation, and identity theft are proving as the serious concerns because of the malicious attacks or hacking of open information. Attackers can alter or delete the information, and claim the ownership or prevent the receiver to get the data. Hence, researchers try to address such challenges. One such effort is concerned with multimedia data hiding through Steganography. In this article, a polynomial sequence generator called Lah Transform (LhT) is applied for developing a Steganography method. LhT generates an integer polynomial sequence in coefficient form by evaluating the pixel values using addition and multiplication. Initially, the cover image is partitioned into nonoverlapping b‐pixel groups (where, b = 3 or 4) which in succession are converted into transform domain using LhT in row‐major order. Secret bits are embedded into the LhT coefficients in varying proportions to achieve variable payload. Coefficient adjustment followed by the embedding process ensures minimum quality distortion. Inverse LhT is applied to regenerate b‐pixel groups in the spatial domain. Results assure that incongruity between the cover pixels and stego‐pixels rises as the value of b increases. Hence, to achieve a high payload, smaller values of b are chosen. The proposed method yields higher peak signal to noise ratio values and payload compared to some recent methods found in the literature. Code of our method is available here.

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A Secure Image Steganography using LSB, DCT and Compression Techniques on Raw Images

Cited by 108 publications

References 9 publications

Digital image steganography: Survey and analysis of current methods

Digital image steganography: Survey and analysis of current methods

Translation and Retrieval of Image Information to and from Sound

Application of Lah transform for security and privacy of data through information hiding in telecommunication

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