High Capacity Steganographic Method Based Upon JPEG

Almohammad, Adel; Hierons, Robert M.; Ghinea, Gheorghiţă

doi:10.1109/ares.2008.72

Cited by 26 publications

(28 citation statements)

References 14 publications

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“…Additionally, the computational time of their method is a bit less than Chang et al's method as well [6].…”

Section: Related Workmentioning

confidence: 98%

“…For example, from Chan et al's research, data are hidden by using simple LSB (least significant bit) with an optimal pixel adjustment process [2]. In case of the frequency domain the cover image will first be transformed from spatial domain to frequency domain before embedding the secret messages [5][6][7]. In addition, for the spatial domain method the capacity of the secret messages that can be embedded is greater than that of frequency domain method, however, it is easier to be detected with the HVS (Human Vision System).…”

Section: Introductionmentioning

confidence: 99%

“…Once the image is transformed into frequency domain, the high frequency range can be discarded. In addition, there are various transform techniques used in steganography works such as DCT [5][6], DFT [9] and DWT [7] However, many image algorithms use DCT because unlike DFT, there is no need to work with the imaginary part. In this work, DCT is used to transform cover image into frequency domain.…”

Section: Introductionmentioning

confidence: 99%

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Frequency-Based Steganography Using 32x32 Interpolated Quantization Table and Discrete Cosine Transform

Vongurai

Phimoltares

2012

2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation

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Image steganography is the art of hiding the existence of the information in the image. The steganography can be categorized into two types in spatial domain and frequency domain. In this study, the frequency based image steganography using Discrete Cosine Transformation (DCT) and JPEG is proposed. Instead of using 8x8-pixel blocks with the 8x8-pixel quantization table, a larger block of size 32x32 will be used with a corresponding 32x32 quantization table created by cubic interpolation technique. Our results show that we can reduce the computation time and increase the capacity of the secret messages while maintaining the image quality and the size of JPEG stego-image.

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“…Additionally, the computational time of their method is a bit less than Chang et al's method as well [6].…”

Section: Related Workmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Frequency-Based Steganography Using 32x32 Interpolated Quantization Table and Discrete Cosine Transform

Vongurai

Phimoltares

2012

2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation

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“…By using the embedding of middle frequency coefficients, Yu et al [10] , Chang et al [11] and Tseng et al [12] proposed a modified 8×8 quantization table to increase the steganography capacity and achieve acceptable visual image quality. Based on Chang's quantization table, Almohammad [13] proposed a method of dividing the cover image into nonoverlapping blocks of 16×16 pixels and gave a new quantization table, in which the quantization step size is half of Chang's, to reduce quantization error. Then, 2 bits of secret message are embedded in the LSB of every quantized middle frequency coefficients.…”

Section: Related Workmentioning

confidence: 99%

“…This quantization table will be used for comparison between our experiments. Inspired by the design of the quantization table [11,[13][14][15] , we present a new 16×16 quantization table. Compared with standard quantization table, the length of new quantization table is 2 times, and step size is half of the former.…”

Section: Related Workmentioning

confidence: 99%

A high capacity steganographic method based on quantization table modification

Jiang

Pang

Guo

et al. 2011

Wuhan Univ. J. Nat. Sci.

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For the traditional steganographic method of Jsteg, the emmbedment of secret message is completed by dividing cover-image into nonoverlapping blocks of 8×8 pixels, discrete cosine transform (DCT) transforming, and using the standard 8×8 quantization table to quantize. In this paper, a novel steganographic method based on the JPEG quantization table modification is presented. Instead of dividing cover-image into 8×8 blocks, nonoverlapping blocks of 16×16 pixels is used. Both theoretical anlysis and experiment results show that the new methods has larger steganography capacity and better stego-image quality, compared with the method of Jsteg and Chang's.As an important technique in the field of information security, information hiding can embed secret information into cover-object to form stego-object. Steganography aims at hiding the very existence of communication by embedding messages into cover objects. However, watermarking aims to protect the copyrights of digital media owners. Therefore, the goal of the former is the secret messages while that of the latter is the cover object itself. How to improve the steganography capacity is an important issue. Steganography based on digital images focuses on spatial and transform domain. Spatial domain algorithms directly embed information into the cover-image without other changes. The advantage of such algorithms is simply considering the cost of robustness. Transform domain algorithms embed secret information into the transform space. The advantage of such algorithms is good robustness, but the disadvantage is small capacity. The usually used transformations include discrete cosine transform (DCT) and wavelet transforms.In recent years, digital JPEG images have become the most popular images on the internet, primarily because they take less space than other images and provide great visual quality with typical compression method. Therefore, steganography techniques based on digital JPEG images have been greatly developed [1][2][3][4][5] , such as Jsteg, F5, Outgess, etc. This paper presents a high capacity steganographic method based on the quantization table modification of the JPEG image. The method uses a new 16×16 quanti-

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Image-into-Image Steganography Using Deep Convolutional Network

Yang

2018

Lecture Notes in Computer Science

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High Capacity Steganographic Method Based Upon JPEG

Abstract: Abstract

Cited by 26 publications

References 14 publications

Frequency-Based Steganography Using 32x32 Interpolated Quantization Table and Discrete Cosine Transform

Frequency-Based Steganography Using 32x32 Interpolated Quantization Table and Discrete Cosine Transform

A high capacity steganographic method based on quantization table modification

Image-into-Image Steganography Using Deep Convolutional Network

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