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A review on blind detection for image steganography
XY Luo, DS Wang, P Wang, FL Liu - Signal Processing, 2008 - Elsevier
Blind steganalysis techniques detect the existence of secret messages embedded in digital
media when the steganography embedding algorithm is unknown. This paper presents a …
media when the steganography embedding algorithm is unknown. This paper presents a …
Steganalysis by subtractive pixel adjacency matrix
This paper presents a novel method for detection of steganographic methods that embed in
the spatial domain by adding a low-amplitude independent stego signal, an example of …
the spatial domain by adding a low-amplitude independent stego signal, an example of …
Steganography and steganalysis based on digital image
H Ge, M Huang, Q Wang - 2011 4th international congress on …, 2011 - ieeexplore.ieee.org
With the rapid development of steganography, steganalysis has advanced quickly. Battle
between steganography and steganalysis has become an important issue in information …
between steganography and steganalysis has become an important issue in information …
Matrix embedding for large payloads
J Fridrich, D Soukal - IEEE Transactions on Information …, 2006 - ieeexplore.ieee.org
Matrix embedding is a previously introduced coding method that is used in steganography to
improve the embedding efficiency (increase the number of bits embedded per embedding …
improve the embedding efficiency (increase the number of bits embedded per embedding …
New blind steganalysis and its implications
The contribution of this paper is two-fold. First, we describe an improved version of a blind
steganalysis method previously proposed by Holotyak et al. and compare it to current state …
steganalysis method previously proposed by Holotyak et al. and compare it to current state …
Optimized feature extraction for learning-based image steganalysis
Y Wang, P Moulin - IEEE Transactions on Information …, 2007 - ieeexplore.ieee.org
The purpose of image steganalysis is to detect the presence of hidden messages in cover
photographic images. Supervised learning is an effective and universal approach to cope …
photographic images. Supervised learning is an effective and universal approach to cope …
Steganogram removal using multidirectional diffusion in fourier domain while preserving perceptual image quality
This paper proposes a novel and efficient method for destructing any secret information
hidden (steganograms) inside an image by any steganographic technique while preserving …
hidden (steganograms) inside an image by any steganographic technique while preserving …
Feature mining and pattern classification for steganalysis of LSB matching steganography in grayscale images
In this paper, we present a scheme based on feature mining and pattern classification to
detect LSB matching steganography in grayscale images, which is a very challenging …
detect LSB matching steganography in grayscale images, which is a very challenging …
Steganalysis for LSB matching in images with high-frequency noise
J Zhang, IJ Cox, G Doërr - 2007 IEEE 9th Workshop on …, 2007 - ieeexplore.ieee.org
Considerable progress has been made in the detection of steganographic algorithms based
on replacement of the least significant bit (LSB) plane. However, if LSB matching, also …
on replacement of the least significant bit (LSB) plane. However, if LSB matching, also …
[PDF][PDF] Steganalysis algorithms for detecting the hidden information in image, audio and video cover media
N Meghanathan, L Nayak - … Journal of Network Security & Its …, 2010 - researchgate.net
Recently, there has been a lot of interest in the fields of Steganography and Steganalysis.
Steganography involves hiding information in a cover (carrier) media to obtain the stego …
Steganography involves hiding information in a cover (carrier) media to obtain the stego …