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A Parallel SRM Feature Extraction Algorithm for Steganalysis Based on GPU Architecture
Computer Science and Information Systems, Tome 12 (2015) no. 4 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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The Spatial Rich Model (SRM) generates powerful steganalysis features, but has high computational complexity since it requires calculating tens of thousands of convolutions with image noise residuals. Practical applications dealing with a massive amount of image transferred through the Internet would suffer a long computing time if using CPU. To accelerate the steganalysis, we present a parallel SRM feature extraction algorithm based on GPU architecture. We exploit parallelism of the algorithm, modify the original SRM extraction algorithm and employ some strategies to avoid the disadvantage of its sequentiality. Some OpenCL optimization technologies are also used to accelerate the extraction process, such as convolution unrolling, combined memory access, split-merge strategy for co-occurrence matrix calculation. The experimental results show that the speed of the proposed parallel extraction algorithm for different size images is 25~55 times faster than the original single thread algorithm. In addition, when using AMD GPU HD 6850, our algorithm runs 2~4.2 times faster than using a Intel Quad-core CPU. This indicates our algorithm makes good use of the GPU cores.
Keywords: Parallel computing, Steganalysis, SRM feature, OpenCL 
@article{CSIS_2015_12_4_a13,
     author = {Kaizhi Chen and Chenjun Lin and Shangping Zhong and Longkun Guo},
     title = {A {Parallel} {SRM} {Feature} {Extraction} {Algorithm} for {Steganalysis} {Based} on {GPU} {Architecture}},
     journal = {Computer Science and Information Systems},
     year = {2015},
     volume = {12},
     number = {4},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2015_12_4_a13/}
}
TY  - JOUR
AU  - Kaizhi Chen
AU  - Chenjun Lin
AU  - Shangping Zhong
AU  - Longkun Guo
TI  - A Parallel SRM Feature Extraction Algorithm for Steganalysis Based on GPU Architecture
JO  - Computer Science and Information Systems
PY  - 2015
VL  - 12
IS  - 4
UR  - http://geodesic.mathdoc.fr/item/CSIS_2015_12_4_a13/
ID  - CSIS_2015_12_4_a13
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%A Chenjun Lin
%A Shangping Zhong
%A Longkun Guo
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%J Computer Science and Information Systems
%D 2015
%V 12
%N 4
%U http://geodesic.mathdoc.fr/item/CSIS_2015_12_4_a13/
%F CSIS_2015_12_4_a13
Kaizhi Chen; Chenjun Lin; Shangping Zhong; Longkun Guo. A Parallel SRM Feature Extraction Algorithm for Steganalysis Based on GPU Architecture. Computer Science and Information Systems, Tome 12 (2015) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2015_12_4_a13/