Hiding Secret Message in Edges of the Image

Singh, Kh. Manglem; Singh, Lovedeep; Singh, Aniket; Devi, K. Suganya

doi:10.1109/icict.2007.375384

Cited by 27 publications

(8 citation statements)

References 6 publications

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“…Data is hidden in those patches of image where value of pixels differ from their neighboring pixels i.e. edges and corners where the significance of derivative is elevated [10]. The benefit of this method is that pixel modifications at the corners of image are not taken into consideration by attackers.…”

Section: Edge-based Lsb Techniquesmentioning

confidence: 99%

LSB Image Steganography Based on Blocks Matrix Determinant Method

2019

KSII TIIS

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Image steganography is one of the key types of steganography where a message to be sent is hidden inside the cover image. The most commonly used techniques for image steganography rely on LSB steganography. In this paper, a novel image steganography technique based on blocks matrix determinant method is proposed. Under this method, a cover image is divided into blocks of size 2 x 2 pixels and the determinant of each block is calculated. The comparison of the determinant values and corresponding data bits yields a delicate way for the embedment of data bits. The main aim of the proposed technique is to ensure concealment of secret data inside an image without affecting the cover image quality. When the proposed steganography method is compared with other existing LSB steganography methods, it is observed that it not only provides higher PSNR, lower MSE but also guarantees better quality of the stego image.

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Section: Edge-based Lsb Techniquesmentioning

confidence: 99%

LSB Image Steganography Based on Blocks Matrix Determinant Method

2019

KSII TIIS

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“…Also this approach requires a huge collection of images to get a better rank. In [7], the least significant bit (LSB) of each pixel is modified sequentially in the scan lines across the image in raw image format with the binary data. In [8] the authors have proposed a steganographic technique by mixing with it cryptography to increase the security layer.…”

Section: Literature Reviewsmentioning

confidence: 99%

A secure keyless image steganography approach for lossless RGB images

Roy

Parekh

2011

Proceedings of the 2011 International Conference on Communication, Computing &Amp; Security - ICCCS '11

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This paper proposes an improved steganography approach for hiding text messages within lossless RGB images. The objective of this work is to increase the security level and to improve the storage capacity while incurring minimal degradation of the image. The security level is increased by distributing the message over the entire image instead of clustering within specific image portions, as also by including a password authentication scheme to ensure that the message can be retrieved only by the intended recipient. Storage capacity is increased by utilizing all the color channels for storing information instead of reserving one of the channels as pixel indicator. Image degradation is minimized by changing only one LSB bit per color channel for hiding the information thereby incurring the least change in the original image. Experimentations done for analyzing the storage capacity and quality degradation, establish the superiority of the proposed approach vis-à-vis contemporary existing approaches.

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“…9 Some other methods try to hide the data in the features of the cover image such as edges, corners, lines, texture, etc. 10 The techniques based on bit plane decomposition 11 and image blocks 12,13 can be given as other examples of image domain methods.…”

Section: Introductionmentioning

confidence: 99%

Image steganography by wavelet matching

Arıca

Kurtuldu

2009

J. Electron. Imaging

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We introduce a new steganography method for embedding message bits into images by utilizing the mathematical relation between the image and transformation domains. The proposed method matches the message bit sequences with the coefficients of the discrete Haar wavelet transformation (DHWT) by modifying the pixels related to those coefficients. The matching process is applied separately for each image block, which is defined with respect to the dimension of the wavelet transform. The algorithm needs to change one pixel out of all the pixels in each block to represent the message bit sequence to be embedded. A minimum amount of degradation provides better stego-image quality than the-state-of-the-art methods. In addition, the experiments performed on different image databases show that the proposed method is more robust against both blind and targeted steganalysis methods, especially in low payload capacities. © 2009 SPIE and IS&T.

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Hiding Secret Message in Edges of the Image

Cited by 27 publications

References 6 publications

LSB Image Steganography Based on Blocks Matrix Determinant Method

LSB Image Steganography Based on Blocks Matrix Determinant Method

A secure keyless image steganography approach for lossless RGB images

Image steganography by wavelet matching

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