Image Steganography using YCbCr Color Space and Matrix Pattern

Mowafi, Moad; Oudat, Omar; Taqieddin, Eyad; Banimelhem, Omar

doi:10.1109/icspis48135.2019.9045903

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…1. This work supports all 256 ASCII characters, while the earlier MP works [49,51,54,83] supported only 49 and 95 English keyboard characters. Thus, any digital media can be hidden as a message like a cryptographically encoded message.…”

Section: Introductionmentioning

confidence: 94%

“…Another work based on the MP method is presented by Zhou et al [83], which combines the MP method (which supports 95 characters) with PVD [80] to increase the capacity. Also, Mowafi et al [49] presented a paper based on MP, but instead of using RGB channels, they use YCbCr color space. In their work, they used the MP version that supported 95 characters.…”

Section: Related Workmentioning

confidence: 99%

“…The image dataset that was used in previous MP evaluations was small (13 images) [49,51,54,55,83]. In this paper, instead, we use the 10,000 images of the BOSSBase dataset [2].…”

Section: Images Dataset and Evaluationmentioning

confidence: 99%

“…3. This is the first time that a Matrix Pattern (MP) steganography algorithm has been evaluated on a large image dataset; we used 10,000 images from BOSSBase [59] (instead of 13 images in earlier MP studies [49,51,54,55,83]). Results show that our proposed AMP method is robust against well-known quantitative steganalysis methods while maintaining the quality of stego-images in both stego-RGB-image and stego-bluechannel.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive Matrix Pattern Steganography on RGB Images

Nilizadeh

Mazurczyk

et al. 2021

JCSANDM

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Almost all spatial domain image steganography methods rely on modifying the Least Significant Bits (LSB) of each pixel to minimize the visual distortions. However, these methods are susceptible to LSB blind attacks and quantitative steganalyses. This paper presents an adaptive spatial domain image steganography algorithm for hiding digital media based on matrix patterns, named “Adaptive Matrix Pattern” (AMP). The AMP method increases the security of the steganography scheme of largely hidden messages since it adaptively generates a unique codebook matrix pattern for each ASCII character in each image block. Therefore, each ASCII character gets a different codebook matrix pattern even in different regions of the same image. Moreover, it uses a preprocessing algorithm to identify the most suitable image blocks for hiding purposes. The resulting stego-images are robust against LSB blind attacks since the middle bits of green and blue channels generate matrix patterns and hiding secrets, respectively. Experimental results show that AMP is robust against quantitative steganalyses. Additionally, the quality of stego-images, based on the peak signal-to-noise ratio metric, remains high in both stego-RGB-image and in the stego-blue-channel. Finally, the AMP method provides a high hiding capacity, up to 1.33 bits per pixel.

show abstract

Section: Introductionmentioning

confidence: 94%

Section: Related Workmentioning

confidence: 99%

“…The image dataset that was used in previous MP evaluations was small (13 images) [49,51,54,55,83]. In this paper, instead, we use the 10,000 images of the BOSSBase dataset [2].…”

Section: Images Dataset and Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Matrix Pattern Steganography on RGB Images

Nilizadeh

Mazurczyk

et al. 2021

JCSANDM

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show abstract

“…For example, Nilizadeh et al (2022) and Nilizadeh et al (2017) propose methods that can hide any type of payload into the blue channel using matrix patterns generated from the green channel of an image. Mowafi et al (2019) proposes a method that can hide plaintext payloads into an image’s Cb and Cr components using matrix patterns generated from the Y component. Color and grayscale images offer many possibilities, but the full review of color and grayscale images is out of this paper’s scope.…”

Section: Related Workmentioning

confidence: 99%

A novel steganography method for binary and color halftone images

Çiftci

Sümer

2022

PeerJ Computer Science

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Digital steganography is the science of establishing hidden communication on electronics; the aim is to transmit a secret message to a particular recipient using unsuspicious carriers such as digital images, documents, and audio files with the help of specific hiding methods. This article proposes a novel steganography method that can hide plaintext payloads on digital halftone images. The proposed method distributes the secret message over multiple output copies and scatters parts of the message randomly within each output copy for increased security. A payload extraction algorithm, where plain carrier is not required, is implemented and presented as well. Results gained from conducted objective and subjective tests prove that the proposed steganography method is secure and can hide large payloads.

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A Neural Network Based Image Steganography Method using Cyclic Chaos and Integer Wavelet Transform

Kumar

Hussaini

2021

2021 Asian Conference on Innovation in Technology (ASIANCON)

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Image Steganography using YCbCr Color Space and Matrix Pattern

Cited by 4 publications

References 13 publications

Adaptive Matrix Pattern Steganography on RGB Images

Adaptive Matrix Pattern Steganography on RGB Images

A novel steganography method for binary and color halftone images

A Neural Network Based Image Steganography Method using Cyclic Chaos and Integer Wavelet Transform

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