High capacity image steganography on sparse message of scanned document image (SMSDI)

Soleymani, Seyyed Hossein; Taherinia, Amir Hossein

doi:10.1007/s11042-016-4009-7

Cited by 16 publications

(12 citation statements)

References 29 publications

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“…In 2017, Soleymani et al [17] proposed high-capacity image data hiding on a sparse message of a scanned document image. They compressed the scanned document image by halftone technology and converted the binary strings to their equivalent decimal values.…”

Section: Related Workmentioning

confidence: 99%

“…However, this method also coded the background area of the binary image. In 2018, Soleymani et al [18] improved [17] by using a more effective quadtree algorithm to code only the content of the binary image. The average payload was 7.98 bpp, the PSNR (peak signal to noise ratio) was 38.83 dB, and the SSIM (structural similarity index) was 0.93.…”

Section: Related Workmentioning

confidence: 99%

“…With the digital development of life and office, the secure transfer of documents and mail through the internet became necessary. Although current steganography methods send information as random bits, few people have embedded scanned documents into cover images to transmit them safely [17][18][19][20]. The scanned documents were pre-processed and embedded into the cover image, so people could share more information with the same capacity.…”

Section: Introductionmentioning

confidence: 99%

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A Novel LSB Matching Algorithm Based on Information Pre-Processing

2021

Mathematics

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This paper analyzes random bits and scanned documents, two forms of secret data. The secret data were pre-processed by halftone, quadtree, and S-Box transformations, and the size of the scanned document was reduced by 8.11 times. A novel LSB matching algorithm with low distortion was proposed for the embedding step. The golden ratio was firstly applied to find the optimal embedding position and was used to design the matching function. Both theory and experiment have demonstrated that our study presented a good trade-off between high capacity and low distortion and is superior to other related schemes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel LSB Matching Algorithm Based on Information Pre-Processing

2021

Mathematics

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“…Protecting private and confidential data from malicious attacks has become an important issue when transmitting over insecure communication channels. Some techniques have been proposed recently to protect private data, such as steganography [1]- [3], watermarking [4]- [7], and encryption [8]- [12]. Image encryption is an important method in information security, and many schemes have been proposed.…”

Section: Introductionmentioning

confidence: 99%

A Novel Plaintext-Related Image Encryption Algorithm Based on Stochastic Signal Insertion and Block Swapping

Sun

Guo

2019

IEEE Access

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Image encryption is an important method for protecting private data during communication. This paper proposes a novel hyperchaotic image encryption algorithm based on stochastic signal insertion and block permutation. First, the 5D hyperchaotic system is applied to generate pseudorandom number sequences. The SHA-256 hash function and secret keys are used to produce the initial values of the cryptosystem. The hash values can effectively enhance the sensitivity to plain image. To enlarge the key space and change orbit of cryptosystem, some stochastic signals are inserted during iteration. The plain image is equally divided into two parts. An X-coordinate, a Y-coordinate and a control table are established with produced pseudonumber sequences. The pixel is swapped with another pixel in the current block or another block depending on the control table. Cyclic shift is performed during the diffusion process. Performance and security analyses are executed to verify the effect of the proposed scheme. It is clear that the proposed scheme has a large key space and is highly sensitive to plain image and secret keys. Moreover, the cryptosystem has low computation complexity and can resist correlation analysis, entropy analysis, statistical attack, differential attack, noise and data loss attacks.

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“…A common important point in these subcategories is the hiddenness of the message, watermark, data, or information. In steganography methods, the goal is to transfer the information through an image securely and invisibly, so that embedding does not create tangible changes in the image and is not recognizable through steganalysis methods that attempt to detect whether carrying the message or not by an image [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

WACA: a new blind robust watermarking method based on Arnold Cat map and amplified pseudo-noise strings with weak correlation

Soleymani

Taherinia

Mohajerzadeh

2019

Multimed Tools Appl

Self Cite

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In this paper, a robust and blind watermarking method is proposed, which is highly resistant to the common image watermarking attacks, such as noises, compression, and image quality enhancement processing. In this method, Arnold Cat map is used as a pre-processing on the host image, which increases the security and imperceptibility of embedding watermark bits with a strong gain factor. Moreover, two pseudo-noise strings with weak correlation are used as the symbol of each 0 or 1 bit of the watermark, which increases the accuracy in detecting the state of watermark bits at extraction phase in comparison to using two random pseudo-noise strings. In this method, to increase the robustness and further imperceptibility of the embedding, the Arnold Cat mapped image is subjected to non-overlapping blocking, and then the high frequency coefficients of the approximation sub-band of the FDCuT transform are used as the embedding location for each block. Comparison of the proposed method with recent robust methods under the same experimental conditions indicates the superiority of the proposed method.

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High capacity image steganography on sparse message of scanned document image (SMSDI)

Cited by 16 publications

References 29 publications

A Novel LSB Matching Algorithm Based on Information Pre-Processing

A Novel LSB Matching Algorithm Based on Information Pre-Processing

A Novel Plaintext-Related Image Encryption Algorithm Based on Stochastic Signal Insertion and Block Swapping

WACA: a new blind robust watermarking method based on Arnold Cat map and amplified pseudo-noise strings with weak correlation

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