Research Article

Steganography Algorithm Based on the Nonlocal Maximum Likelihood Noise Estimation for Mobile Applications

Table 12

Image quality measures results.

Cover ImageImage to be hiddenTestStego-imageTestResult

boatAgfaM1=0.0boat-AgfaM1=0.0No message
M2=0.0M2=0.0No message
M3=9.7656 e-4M3=5.5443e-4No message
M7=0.0M7=0.0No message
M8=0.0M8=0.0No message
M9=0.0M9=0.0No message
M10=0.0M10=0.0No message
100

sphinxsnowM1=0.0561sphinx-snowM1=0.0416No message
M2=0.0763M2=0.0446No message
M3=9.7689 e-4M3=4.7118e-4No message
M7=6.2867e-11M7=6.3748e-11No message
M8=0.0M8=0.0No message
M9=0.0M9=0.0No message
M10=0.0179M10=0.1966Message
1/7=85.71

prayerskullcapM1=0.0prayer-skullcapM1=0.0094No message
M2=0.0M2=0.0156No message
M3=9.7656e-4M3=2.0933 e-4No message
M7=0.0M7=8.2075e-10No message
M8=0.0M8=0.0No message
M9=0.0M9=0.0No message
M10=0.0M10=0.0171Message
1/7=85.71

MountainlandscapeM1=0.0Mountain-landscapeM1=0.0091No message
M2=0.0M2=0.0015No message
M3=9.8769e-4M3=3.2700e-4No message
M7=0.0M7=8.2127e-10No message
M8=0.0M8=0.0No message
M9=0.0M9=0.0No message
M10=0.0M10=3.4568e-4Message
1/7=85.71

FireMosqueM1=0.0029Fire-MosqueM1=0.0036No message
M2=0.0067M2=0.0058No message
M3=9.8769e-4M3=2.7198e-4No message
M7=0.0M7=1.7288e-4Message
M8=0.0M8=0.0No message
M9=0.0M9=0.0No message
M10=0.0M10=0.0No message
1/7=85.71

Wood fireCactusM1=0.0Wood fire-CactusM1=0.0004No message
M2=0.0M2=0.0006No message
M3=8.9765e-4M3=3.5126e-4No message
M7=0.0M7=5.8662e-10No message
M8=0.0M8=0.0No message
M9=0.0M9=0.0No message
M10=0.0M10=0.0018Message
1/7=85.71

LenaMandrillM1=0.0Lena-MandrillM1=0.0029No message
M2=0.0M2=0.0348No message
M3=8.9765e-4M3=6.0930e-4No message
M7=0.0M7=1.5928e-8No message
M8=0.0M8=0.0No message
M9=0.0M9=0.0No message
M10=0.0M10=0.0053Message
1/7=85.71