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Textural features based universal steganalysis
Bin Li
, Jiwu Huang
, Yun Q. Shi
Electrical and Computer Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
44
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Scopus citations
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Dive into the research topics of 'Textural features based universal steganalysis'. Together they form a unique fingerprint.
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Keyphrases
Feature-based
100%
Spatial Domain
100%
Steganography
100%
Texture Classification
100%
Steganalysis Features
100%
Textural Features
100%
Steganography Techniques
100%
Adaptive Spatial
100%
Universal Steganalysis
100%
Image Database
50%
Stego Image
50%
Cover Image
50%
Image Steganalysis
50%
JPEG2000
50%
Detection Performance
50%
Fisher Linear Discriminant
50%
Grayscale Image
50%
JPEG Steganography
50%
Non-adaptive
50%
Image Texture
50%
Hybrid Images
50%
Local Linear Transform
50%
Feature Extraction Methods
50%
Transform Coefficient
50%
Stochastic Texture
50%
Normalized Histogram
50%
Classification Problem
50%
Computer Science
Steganography
100%
Steganalysis
100%
Spatial Domain
66%
Steganographic Algorithm
66%
Texture Classification
66%
Classification Problem
33%
Experimental Result
33%
Feature Extraction
33%
Benchmarking
33%
Transform Coefficient
33%
Image Database
33%
stego image
33%
JPEG2000
33%
Linear Discriminant
33%
Detection Performance
33%
Gray-Scale Images
33%
Linear Transform
33%