High Capacity Image Steganography Based on Curvelet Transform

2011 ◽  
Author(s):  
Ali A. Al-Ataby ◽  
Fawzi M. Al-Naima
Keyword(s):  
High Capacity ◽  
Curvelet Transform ◽  
Image Steganography

scholarly journals Knight Tour for Image Steganography Technique

2019 ◽  
Vol 9 (1) ◽  
pp. 1610-1613
Keyword(s):  
Growth Rate ◽  
Data Hiding ◽  
Information Hiding ◽  
High Capacity ◽  
Image Steganography ◽  
Cover Image ◽  
The Internet ◽  
Sensitive Information ◽  
Image File ◽  
Ascii Code

The growth rate of the Internet is exceeding that of any previous technology. As the Internet has become the major medium for transferring sensitive information, the security of the transferred message has now become the utmost priority. To ensure the security of the transmitted data, Image steganography has emerged out as an eminent tool of information hiding. The frequency of availability of image file is high and provides high capacity. In this paper, a method of secure data hiding in image is proposed that uses knight tour positions and further 8-queen positions in 8*8 pixel blocks.The cover image is divided into 8*8 pixel blocks and pixels are selected from each block corresponding to the positions of Knight in 8*8 chessboard starting from different pixel positions. 8-pixel values are selected from alternate knight position. Selected pixels values converted to 8-bit ASCII code and result in 8* 8 bit matrix. 8-Queen’s solution on 8*8 chessboard is applied on 8*8 bit matrix. The bits selected from 8-Queens positions and compared with 8-bit ASCII code of message characters. The proposed algorithm changes the LSB of only some of the pixels based on the above comparison. Based on parameters like PSNR and MSE the efficiency of the method is checked after implementation. Then the comparison done with some already proposed techniques. This is how, image steganography showed interesting and promising results when compared with other techniques.

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

2016 ◽  
Vol 76 (20) ◽  
pp. 20847-20867 ◽  
Author(s):  
Seyyed Hossein Soleymani ◽  
Amir Hossein Taherinia
Keyword(s):  
High Capacity ◽  
Document Image ◽  
Image Steganography

scholarly journals A Secure and High Capacity Image Steganography Technique

2013 ◽  
Vol 4 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Hemalatha S ◽  
Dinesh Acharya U ◽  
Renuka A ◽  
Priya R Kamath
Keyword(s):  
High Capacity ◽  
Image Steganography

scholarly journals An Effective approach for Lossless and High Capacity Image Steganography

2021 ◽  
Vol 18 (3) ◽  
pp. 89-100
Author(s):  
Aref Rezaei ◽  
Mahsa Zameni ◽  
Leili Farzinvash ◽  
◽  
◽  
...  
Keyword(s):  
High Capacity ◽  
Image Steganography

scholarly journals High-Capacity Image Steganography Algorithm Based on Image Style Transfer

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xinliang Bi ◽  
Xiaoyuan Yang ◽  
Chao Wang ◽  
Jia Liu
Keyword(s):  
High Capacity ◽  
Image Features ◽  
Image Steganography ◽  
Cover Image ◽  
Secret Message ◽  
The Internet ◽  
Stego Image ◽  
Style Transfer ◽  
Secret Image ◽  
Secret Information

Steganography is a technique for publicly transmitting secret information through a cover. Most of the existing steganography algorithms are based on modifying the cover image, generating a stego image that is very similar to the cover image but has different pixel values, or establishing a mapping relationship between the stego image and the secret message. Attackers will discover the existence of secret communications from these modifications or differences. In order to solve this problem, we propose a steganography algorithm ISTNet based on image style transfer, which can convert a cover image into another stego image with a completely different style. We have improved the decoder so that the secret image features can be fused with style features in a variety of sizes to improve the accuracy of secret image extraction. The algorithm has the functions of image steganography and image style transfer at the same time, and the images it generates are both stego images and stylized images. Attackers will pay more attention to the style transfer side of the algorithm, but it is difficult to find the steganography side. Experiments show that our algorithm effectively increases the steganography capacity from 0.06 bpp to 8 bpp, and the generated stylized images are not significantly different from the stylized images on the Internet.

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