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ICIP
2007
IEEE
13 years 11 months ago
Steganalyzing Texture Images
A texture image is of noisy nature in its spatial representation. As a result, the data hidden in texture images, in particular in raw texture images, are hard to detect with curr...
Chunhua Chen, Yun Q. Shi, Guorong Xuan
JEI
2006
128views more  JEI 2006»
13 years 4 months ago
Performance study of common image steganography and steganalysis techniques
Abstract. We investigate the performance of state of the art universal steganalyzers proposed in the literature. These universal steganalyzers are tested against a number of well-k...
Mehdi Kharrazi, Husrev T. Sencar, Nasir D. Memon
IWDW
2005
Springer
13 years 10 months ago
Towards Multi-class Blind Steganalyzer for JPEG Images
In this paper, we use the previously proposed calibrated DCT features [9] to construct a Support Vector Machine classifier for JPEG images capable of recognizing which steganograp...
Tomás Pevný, Jessica J. Fridrich
SIAMIS
2011
12 years 11 months ago
Locally Parallel Texture Modeling
This article presents a new adaptive framework for locally parallel texture modeling. Oscillating patterns are modeled with functionals that constrain the local Fourier decompositi...
Pierre Maurel, Jean-François Aujol, Gabriel...
ICASSP
2011
IEEE
12 years 8 months ago
How to perform texture recognition from stochastic modeling in the wavelet domain
The paper addresses content-based image retrieval from texture databases, by using stochastic modeling in the wavelet domain. It proposes an analysis of the key parameters involve...
Abdourrahmane M. Atto, Yannick Berthoumieu