A Secure Robust Gray Scale Image Steganography Using Image Segmentation

Abstract

Steganography is the art of hiding a secret message in some kind of media. The main goal is not to hide only the secret message but also the existence of communication and secure data transferring. There are a lot of methods that were utilized for building the steganography; such as LSB (Least Significant Bits), Discrete Cosine Transform (DCT), Discrete Fourier Transform, Spread-Spectrum Encoding, and Perceptual Masking, but all of them are challenged by steganalysis. This paper proposes a new technique for Gray Scale Image Steganography that uses the idea of image segmentation and LSB to deal with such problem. The proposed method deals with different types of images by converting them to a virtual gray scale 24 bitmaps, finds out the possible segments inside image and then computes the possible areas for each segment with boundaries. Any intruder trying to find the transformed image will not be able to understand it without the correct knowledge about the transformation process. The knowledge is represented by the key of image segmentation, key of data distribution inside segment (area selection), key of mapping within each area segment, key agreement of cryptography method, key of secret message length and key of message extension. Our method is distinguishing oneself by one master key to generate the area selection key, pixels selection keys and cryptography key. Thus, the existence of secret message is hard to be detected by the steganalysis. Experiment results show that the proposed technique satisfied the main requirements of steganography; visual appearance, modification rate, capacity, undetectability, and robustness against extraction (security). Also it achieved the maximum capacity of cover image with a modification rate equals 0.04 and visual quality for stego-image comparable to cover image.

The research on irregular volume measurement is based on image gray normalization method and brightness restoration method

“…At present, a serious problem that affects the three-dimensional measurement of CT sequence slice imaging is that the spatial resolution of the pixels in the fault is far higher than the spatial resolution between the faults，that is the slice inner pixel is not consistent with the spatial resolution of axis direction, which makes the edge data of the interlayer slice incomplete, resulting in the low accuracy and large error of the three-dimensional measurement based on the sequence imaging (Chae S H et al2016) [9]. There are two methods that usually equate the spatial resolution of the horizontal and the axes: One way is to control the CT scanning spacing, the scanning interval between adjacent faults is reduced until the resolution is equal to the resolution within the slice (Bawaneh M J et al2016) [10]. However, as the accuracy of the detector is upgraded, and the accuracy of the ray source is improved, the quality of the reconstruction of imaging is also getting higher and higher.…”

SFO for enhancing steganogrphy by exploiting exact resemblance between cover and secure text

“…This knowledge is represented by the key of image segmentation, the key of mapping within each area segment, data distribution inside segment, key agreement of cryptography method, the key of secret message length and the key of message extension. The main limitation of this technique is limited capacity to embed secret data and imperceptibility (Bawaneh & Obei dat, 2016). For growing the capability of conceal data in RGB image, a method is used to merge the characteristics of color intensities with a Triple-A algorithm where based on randomization.…”

A novel steganography technique using grayscale image segmentation

“…This knowledge is represented by the key of image segmentation, data distribution inside segment (area selection), the key of mapping within each area segment, key agreement of cryptography method, the key of secret message length and the key of message extension (Bawaneh and Obeidat, 2016). In this approach, a password is used to create a random seed that is used to take the first position where secret information bit is hiding.…”