Comprehensive survey of image steganography: Techniques, Evaluations, and trends in future research

Kadhim, Inas Jawad; Premaratne, Prashan; Vial, Peter James; Halloran, Brendan P.

doi:10.1016/j.neucom.2018.06.075

Cited by 299 publications

(148 citation statements)

References 131 publications

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“…Steganography has been the focus of much research interest over the past few decades, as well as increasing applicability into the real world [6]. A multitude of papers (e.g., [3], [4], [12], [14]- [22]), have reviewed the various techniques proposed in the literature for different types of steganography such as text, image, audio, video, or network steganography. Analysing those papers, one can note that past research works have mainly focused on specialised steganography and steganalysis techniques, with few generic models having been proposed.…”

Section: Related Workmentioning

confidence: 99%

Cover Processing-based Steganographic Model with Improved Security

2019

APH

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Steganography uses specialised techniques to conceal messages in different cover objects such as image or video so that only the sender and receiver know of the message's existence and are able to decipher it. Previous research conducted in the area has mainly focused on steganography and steganalysis techniques. This paper proposes a new model for steganography called Cover Processing-based Steganographic Model (CPSM) that processes the cover objects and transmits them in a way to improve the security of steganographic objects. A comprehensive demonstration based on information theory proves that CPSM provides improved security in terms of lower relative entropy as compared to previous models from the literature. Moreover, experimental tests show a decrease of the relative error between the cover and steganographic objects of up to 14%.

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Section: Related Workmentioning

confidence: 99%

Cover Processing-based Steganographic Model with Improved Security

2019

APH

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“…Steganography is the art of hiding information in such a way that, keeps the existence of the message secret [1,2]. The wavelet domain is growing up very quickly.…”

Section: Introductionmentioning

confidence: 99%

“…The use of such transform mainly increases the capacity and robustness of the Information Hiding system. Here the steganography is implemented in the Wavelet domain [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Color Image Steganography using Dual Wavelet Transforms

Abbasi¹

2019

IJCA

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Steganography is the art and science of covert communication. The secret information can be concealed in content such as image, audio, or video. This paper provides a novel image steganography technique which hides both image and key in color cover image using Discrete Wavelet Transform (DWT) and Integer Wavelet Transform (IWT). The cover image and secret image coefficient values are embedded by using a fusion technique. The cover image is a color image and the secret image is a grayscale image. This algorithm first separates RGB color planes of the cover image. Next, the algorithm extracts either DWT or IWT coefficients of both R-plane of the cover image and secret image. These two extracted coefficient values are fused into a single image by using a wavelet-based fusion technique. By taking IDWT/IIWT transform of the fused image the stego image is obtained. Different combinations of DWT/IWT transforms were performed on the scrambled secret image and cover image. Experimental results shows that the proposed method can produce stego images with high level of perceptual invisibility and security.

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“…In general, the quality of the stego image is inversely proportional to the amount of data hidden in the cover [1]. The characteristics of a suitable steganography method are represented by its capability to balance between the amount of data that can be hidden and the quality of stego images [2]. During the data extraction process, not all cover images must be returned to their original state.…”

Section: Introductionmentioning

confidence: 99%

Improving the Quality of Stego Image Using Prediction Error and Histogram Modification

Islamy¹,

Ahmad²

2019

IJIES

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The transmitted information on the internet are prone to security concerns. To overcome this issue, some security methods have been developed in the last few decades. One of the reliable techniques to secure data is called data hiding. This method can be used in various multimedia data, like image, video, text, and audio. Histogram shifting (HS) is a reliable data hiding method used in digital images. It can preserve the similarity of the stego and original image; although, the amount of the protected data depends on the frequency of the most amount pixel in the original image. To solve this problem, we combine HS with prediction error (PE). By using the histogram generated by PE, the size of data that can be embedded increases. In the embedding phase, we do not shift the histogram, different from the existing methods. It is to maintain its original form as high as possible. Moreover, each PE value can contain more data. Based on the experimental result, the average increase in PSNR is 24.8075 dB for general images and 21.5625dB for medical images; while the average improvement of SSIM is 0.026823 and 0.022863 for general and medical images, respectively.

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Comprehensive survey of image steganography: Techniques, Evaluations, and trends in future research

Cited by 299 publications

References 131 publications

Cover Processing-based Steganographic Model with Improved Security

Cover Processing-based Steganographic Model with Improved Security

Color Image Steganography using Dual Wavelet Transforms

Improving the Quality of Stego Image Using Prediction Error and Histogram Modification

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