A survey on image steganography

Menon, Nidhi; Vaithiyanathan,

doi:10.1109/tapenergy.2017.8397274

Cited by 28 publications

(4 citation statements)

References 10 publications

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“…There are known image steganography based on image formats, owing to the fact that images can be represented in a variety of formats as shown in figure 5. In [20][21][22], the most prevalent image formats were identified, and they are the Joint Photographic Exchange Group (JPEG), Bit Map (BMP), Graphics Interchange Format (GIF), Portable Network Graphics (PNG), and Tag Image File Format (TIFF). [20,22] i.…”

Section: Image Steganography Based On Image Formatmentioning

confidence: 99%

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Reversible Image Steganography: A Review of Existing GAN-based Models

Nzewata,

Awodele,

Idowu

et al. 2022

CTICTR

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Image steganography is the method of concealing information, which can be text, image, or video, under a cover image in a way that it is invisible to the human eyes. Payload capacity, security and robustness are the features of steganography. A high-quality image steganography ensures a large payload capacity, superior security, and robustness against adversarial attacks. Image steganography is considered to be reversible if the concealed information's original state can be restored with little or no loss in the pixel values and textures. The main goal of this paper is to look at some of the typical techniques and models that are used to build image steganography systems by adopting the Preview, Question, Read, Summarize (PQRS) method to explain how the payload capacity, security, and robustness of these models may be quantified for future research and recommend GAN-based deep learning methods for improving existing reversible image steganography models. Keywords: Image steganography, GAN-based models, Payload capacity, PSNR, Reversibility, SSIM

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Section: Image Steganography Based On Image Formatmentioning

confidence: 99%

“…There are many techniques used in exploring steganography. According to [21], the approach used is influenced by the nature of the steganographic cover to be utilised. Based on the scope of this study, consideration is given to digital image steganography.…”

Section: Image Steganography Techniquesmentioning

confidence: 99%

Reversible Image Steganography: A Review of Existing GAN-based Models

Nzewata,

Awodele,

Idowu

et al. 2022

CTICTR

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“…In an 8-bit GrayScale GIF image, there are 256 gray shades. The colors are gradually changed in the GrayScale GIF image so it is hard to detect these changes [26].…”

Section: Lsb In a Graphical Interchange Format (Gif)mentioning

confidence: 99%

A systematic overview of secure image steganography

Ahmed

2021

IJAAS

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<p>Information is a vitalthing that needs to be secured and well protected during transmission between two or more parties over the internet. This can be achieved by steganography technology. Steganography is the concealing science in which the information is concealed inside other information in a way that the concealed information cannot be detectable by the human eye. Many ways are available to hide data inside a cover media for example text, image, and audio steganography, but image steganography is the most utilized technique among the others. Secure image steganography has a high-security level than traditional technique by combining steganography with cryptography due to encrypting secret information by cryptography algorithm before embedding it into the cover media by steganography algorithm. In this paper,a systematic review has been presented about secure image steganography and its renowned types. Many researchers proposed secure image steganography by using various cryptography and steganography algorithms which have been reviewed. The least significant bit ‘LSB’ was the renowned steganography algorithm which has been used by researchers due to its simplicity, while various cryptography algorithms like advanced encryption standard (AES) and blowfishhave been used to propose secure image steganography in the reviewed papers. The comparison among the reviewed papers indicated that the LSB with hash-RSA gave a greater peak signal-noise ratio ‘PSNR’ value than the others which was 74.0189 dB.</p>

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“…This makes it an effective technique for hiding sensitive information in plain sight. Furthermore, LSB steganography is compatible with a wide range of image formats [13]. The technique can be applied to various types of digital images, such as JPEG, PNG, and BMP.…”

Section: Introductionmentioning

confidence: 99%

LSB Steganography to Embed Creator's Watermark in Batik Digital Arts

Amri

Waeno

Musa³

2023

ESL

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This paper presents an implementation of Least Significant Bit (LSB) steganography to embed a hidden watermark in batik digital images. The goal of the technique is to provide a means of protecting the intellectual property of creators of batik digital arts while still allowing the images to be freely distributed and shared. The study demonstrates the effectiveness of the technique by showing that the embedded watermark is not visible to the human eye and does not significantly alter the quality of the image. The proposed technique uses the LSB method to embed a watermark in the binary data of the batik digital image. This method involves replacing the least significant bit of the image's pixel values with the bits of the watermark, thus altering the binary data of the image without causing noticeable changes in its visual appearance. The embedded watermark can only be detected by a decoding process, making it difficult to be removed or tampered with. The results of the study show that the implemented LSB steganography technique is successful in achieving its objective. The technique is able to effectively embed a hidden watermark in batik digital images without significantly altering the image quality or causing visual artifacts. This work highlights the potential of LSB steganography as a valuable tool for protecting the intellectual property of digital art creators, particularly in the field of batik images. Overall, this study contributes to the growing body of research on steganography and digital media protection. The successful implementation of the LSB steganography technique provides a promising approach for safeguarding the intellectual property of creators in the digital arts industry. Future research may explore other steganography techniques to address potential vulnerabilities and limitations of the LSB method.

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A survey on image steganography

Cited by 28 publications

References 10 publications

Reversible Image Steganography: A Review of Existing GAN-based Models

Reversible Image Steganography: A Review of Existing GAN-based Models

A systematic overview of secure image steganography

LSB Steganography to Embed Creator's Watermark in Batik Digital Arts

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