scholarly journals A New Method of Image Steganography using Last Three Bit Plane of Gray Scale Images

2017 ◽  
Vol 10 (38) ◽  
pp. 1-10 ◽  
Author(s):  
Kamaldeep Joshi ◽  
Rajkumar Yadav ◽  
◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Kamaldeep Joshi ◽  
Swati Gill ◽  
Rajkumar Yadav

As the internet has become the medium for transferring the sensitive information, the security of the transferred message has become the utmost priority. Image steganography has emerged out as the eminent tool of information hiding that ensures the security of the transmitted data. Image files provide high capacity, and their frequency of availability over the internet is also high. In this paper, a method of image coding is proposed that hides the information along a selected pixel and on the next value of the selected pixel, that is, pixel + 1. One bit is hidden at the selected pixel, and the second bit is hidden on the pixel +1 value. On the basis of the 7th bit of the pixels of an image, a mathematical function is applied at the 7th bit of the pixels, which generates a temporary variable (pixel + 1). The 7th bit of the selected pixel and 7th bit of pixel + 1 are used for information hiding and extraction. On the basis of a combination of these two values, two bits of the message can be hidden on each pixel. After implementation, the efficiency of the method is checked on the basis of parameters like PSNR and MSE, and then comparison with some already proposed techniques was done. This proposed image steganography showed interesting, promising results when compared with other existing techniques.


Author(s):  
Soumendu Chakraborty ◽  
Anand Singh Jalal ◽  
Charul Bhatnagar

Author(s):  
Michiharu Niimi ◽  
Hideki Noda

This chapter reviews information hiding methods, with a focus on steganography and steganalysis. First, the authors summarize image data structures and image formats required by computers and the Internet. They then introduce several information hiding methods based on image formats including lossless (non-compression based), limited color-based image data, JPEG, and JPEG2000. The authors describe a steganographic method in detail, which is based on image segmentation using a complexity measure. They also introduce a method for applying this to palette-based image formats, reversible information hiding for grayscale images, and JPEG2000 steganography. The steganographic methods for JPEG and JPEG2000 described in this chapter give particular consideration to the naturalness of cover data. In the steganalysis section, the authors introduce two methods, i.e., a specific steganalysis method for LSB steganography and Bit-Plane Complexity Segmentation (BPCS) stegnography.


2013 ◽  
Vol 380-384 ◽  
pp. 3746-3749
Author(s):  
Yu Chen ◽  
Ren Er Yang ◽  
Min Yuan ◽  
Jun Mo ◽  
Cheng Hong Ma

On digital image steganography, the traditional LSB method usually makes the histograms change relatively large after the image steganography; therefore,the hidden information can be detected easily. This paper puts forward a new method based on the nonlinear optimization to determine the best LSB steganography technology of histogram detecting. It can make the histograms total change to be smaller and difficulter to be detected.


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