A New Regularization Model Based on Non-Local Means for Image Deblurring
p.1164
p.1164
A Cloud Support Vector Machine Model Based on Image Semantics
p.1170
p.1170
The Research on Crack Recognition of Ancient Building Painting Based on Curve Analysis
p.1174
p.1174
Locality Preserving Maximum Scatter Difference Projection for Face Recognition
p.1179
p.1179
JPEG Steganalysis Based on Locality Preserving Projection Dimensionality Reduction Method
p.1185
p.1185
A New Adaptive Image Fusion Technique of CT and MRI Images Based on Dual-Tree Complex Wavelet Transform
p.1189
p.1189
Grayscale Image Compression and Encryption Based on Format Conversion
p.1193
p.1193
A Semantic Watermarking Technique for Authenticating Video of H.264
p.1197
p.1197
SIFT Feature Extraction Based on Color Energy Region
p.1201
p.1201
JPEG Steganalysis Based on Locality Preserving Projection Dimensionality Reduction Method
Abstract:
In this paper, a JPEG steganalysis algorithm based on locality preserving projection (LPP) dimensionality reduction method is proposed for detecting the unseen stego algorithms. The co-occurrence features are extracted from DCT-DWT domain and dimension is reduced by using the LPP method. For improving the generalization capability of the algorithm, SVDD is used as the classifier. Experimental results reveal the fact that our scheme has better generalization capability and is more effective than others.
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Info:
Periodical:
Applied Mechanics and Materials (Volumes 411-414)
Pages:
1185-1188
Citation:
Online since:
September 2013
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