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Joint-channel modeling to attack QIM steganography
Hafiz Malik
,
K. P. Subbalakshmi
, R. Chandramouli
Department of Electrical and Computer Engineering
University of Michigan, Dearborn
Stevens Institute of Technology
Research output
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Contribution to journal
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peer-review
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Engineering
Joints (Structural Components)
100%
Quantization Index
100%
Modulation Index
100%
Quantization (Signal Processing)
100%
Channel Modeling
100%
Test Image
40%
Estimated Parameter
40%
Experimental Result
20%
Generalized Likelihood Ratio Test
20%
Natural Image
20%
Maximum Likelihood Estimation
20%
Additive Noise
20%
Single Channel
20%
Computer Science
Steganography
100%
Channel Modeling
100%
Quantization Index
100%
stego image
80%
Quantization (Signal Processing)
80%
Quantized Image
20%
maximum-likelihood
20%
generalized likelihood-ratio test
20%
Detection Accuracy
20%
Steganalysis
20%
Likelihood Estimation
20%
Performance Comparison
20%
Parametric Model
20%
Experimental Result
20%
Parameter Estimate
20%