Research Article

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

Table 4

MSE between the cover and the stego-image.

TestRoundRed color channelGreen color channelBlue color channel (%)General

110.3658560.3256750.3805320.357354
20.7582910.7346740.7299390.740968
30.3658210.3256830.3805370.357347
40.7582840.7346680.7299820.740978

210.4231230.4519000.4498830.441635
20.2615770.2574140.2622640.260418
30.4231220.4518860.4498360.441615
40.2615670.2574160.2622470.260410

318.3198868.3288728.1818758.276878
23.1895133.135343.1244083.149753
38.3196618.3291208.1816158.276799
43.1895383.1353733.1244383.149783

416.7778966.8805936.8905756.849688
22.8509552.7351482.9493282.845144
36.7779596.8805846.8904746.849672
42.8509972.7351562.9493152.845156

515.6303245.5696025.5813815.593769
23.0012183.0087143.0386323.016188
35.6302635.5694935.5812885.593681
43.0011733.0086173.0386423.016144

611.3621351.3124131.2231671.299238
20.6682410.6273190.5921540.629238
31.3620711.3125851.2233021.299319
40.6682100.6273510.5921300.629230

710.5083180.4685320.4618590.479570
20.3322600.3159410.3110960.319766
30.5083450.4684960.4618820.479574
40.3322150.3159270.3111130.319752

814.6610715.1259304.4353634.740788
22.5736473.0081512.6363862.739397
34.6616365.1258544.4350124.740834
42.5736473.0081512.6363862.739397

Average2.605275632.642893062.578032532.60873384