An Illustrative Review on Steganography Techniques Using QR Code Images

This review paper concentrates on the concept of QR code steganography and its de-noising filters. The goal of this review paper is to explore and analyze QR Code generation, QR code versions, Steganography techniques and Problems of QR code. In this paper, we present review on two challenges of the work i.e. first one is QR code steganography and its major problem noise, noise creates a problem to read the QR code, and reduce the readability of QR code. The literature review is done on QR code steganography technique and filters that basically reduce the noise of Image of QR code and as well as performance parameters PSNR and MSE. We have also discussed various Error correction levels of the QR code, steganography techniques and de-noising filters. Error Correction and noise removal from Cover image is challenging task and calculating the PSNR and MSE values for QR Code images with different image file format

A Learning-Based Steganalytic Method against LSB Matching Steganography

This paper considers the detection of spatial domain least significant bit (LSB) matching steganography in gray images. Natural images hold some inherent properties, such as histogram, dependence between neighboring pixels, and dependence among pixels that are not adjacent to each other. These properties are likely to be disturbed by LSB matching. Firstly, histogram will become smoother after LSB matching. Secondly, the two kinds of dependence will be weakened by the message embedding. Accordingly, three features, which are respectively based on image histogram, neighborhood degree histogram and run-length histogram, are extracted at first. Then, support vector machine is utilized to learn and discriminate the difference of features between cover and stego images. Experimental results prove that the proposed method possesses reliable detection ability and outperforms the two previous state-of-the-art methods. Further more, the conclusions are drawn by analyzing the individual performance of three features and their fused feature

Enhancing the Security and Quality Image Steganography using Hiding Algorithm based on Minimizing the Distortion

In this paper, highest state-of-the-art binary image Steganographic approach considers the spinning misinterpretation according to the personal visual structure, which will be not secure when they are attacked by Steganalyzers. In this paper, a binary image Steganographic scheme that aims to reduce the hiding misinterpretation on the balance is presented. We excerpt the complement, turn, and following-invariant local balance arrangement from the binary image first. The weighted sum of Complement, Turn, And Following-Invariant Local Balance changes when spinning one pixel is then employed to allot the spinning misinterpretation corresponding to that pixel. By examining on both simple binary images and the composed image constructed message set, we show that the advanced appraisal can well describe the misinterpretations on both visual aspect and statistics. Based on the proposed measurement, a practical Steganographic scheme is develope

A new cost function for spatial image steganography based on 2D-SSA and WMF.

As an essential tool for secure communications, adaptive steganography aims to communicate secret information with the least security cost. Inspired by the Ranking Priority Profile (RPP), we propose a novel two-step cost function for adaptive steganography in this paper. The RPP mainly includes three rules, i.e. Complexity-First rule, the Clustering rule and the Spreading rule, to design a cost function. We use the two-dimensional Singular Spectrum Analysis (2D-SSA) and Weighted Median Filter (WMF) in designing the two-step cost function. The 2D-SSA is employed in selecting the key components and clustering the embedding positions, which follows the Complexity-First rule and the Clustering rule. Also, we deploy the Spreading rule to smooth the resulting image produced by 2D-SSA with WMF. Extensive experiments have shown the efficacy of the proposed method, which has improved performance over four benchmarking approaches against non-shared selection channel attack. It also provides comparable performance in selection-channel-aware scenarios, where the best results are observed when the relative payload is 0.3 bpp or larger. Besides, the proposed approach is much faster than other model-based methods

Comparative Analysis of Image Stenography Techniques for Image Quality & Security

In this paper, discuss about the data hiding using the wavelet approach is better technique in stegnography techniques. optimization techniques are better results provides for the data hiding in stenography. In Discrete Wavelet Transform, HAAR Wavelet gives the excellent peak signal to noise ratio (PSNR) and less computation time. In optimization, particle swarm optimization technique is gives excellent better result in case of PSNR ratio.In spatial domain, common useful technique is least significant bit(LSB) gives better result in case of data payload capacity and less computation time. In paper mentioned, all above techniques with compare to other related techniques useful in stegnography