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174 |                                                                                                    Muttashar & Fyath

                                                                                                TABLE II.
                                                                    THREE-DIRECTION CORRELATION COEFFICIENTS FOR

                                                                              VARIOUS ORIGINAL COLOR IMAGES.

                                                                    Images            Channel    VD       HD       DD
                                                                      Lena              Red     0.9477   0.9733   0.9259
                                                                    Baboon             Green    0.9474   0.9736   0.9270
                                                                    Barbara             Blue    0.9078   0.9486   0.8360
                                                                    Airplane            Red     0.8360   0.7723   0.7765
                                                                    Sailboat           Green    0.7523   0.6643   0.6604
                                                                    Peppers             Blue    0.8498   0.8007   0.7937
                                                                                        Red     0.9423   0.9736   0.9239
                                                                                       Green    0.9295   0.9681   0.9072
                                                                                        Blue    0.9417   0.9738   0.9234
                                                                                        Red     0.8906   0.8832   0.8180
                                                                                       Green    0.9099   0.9035   0.8497
                                                                                        Blue    0.8464   0.8237   0.7500
                                                                                        Red     0.8773   0.8654   0.8188
                                                                                       Green    0.9404   0.9379   0.9072
                                                                                        Blue    0.9426   0.9428   0.9137
                                                                                        Red     0.9350   0.9394   0.8987
                                                                                       Green    0.9642   0.9704   0.9425
                                                                                        Blue    0.9292   0.9381   0.8919

Fig. 18. Histograms of the decrypted images (a) Lena (b)            H. DnCNN Results
baboon (c) Barbara (d) airplane (e) sailboat and (f) peppers.       A four-layer DnCNN is designed in this work. Fig. 25 shows
                                                                    the root mean square error (RMSE) and loss function curve
F. Key Sensitivity Analysis                                         for training using a dataset of 931 images dataset. After 37240
The sensitivity of the encryption process to the initial condi-     iterations, the RMSE decreases significantly and somewhat
tions of the chaotic parameters used to generate the chaotic        settles between 1% and 2% RMSE values. While there is a
phase masks are examined here. Lena and baboon images are           decrease in the curve of the loss function with respect to the
used as examples to test the sensitivity to the initial conditions  number of iterations, which is about 0.4. This means that the
of the key. As depicted in Fig. 24 even if a tiny deviation         proposed DnCNN structure does well despite the insufficient
is made for one of the deciphering key parameters (chaotic          data set, and there is no overfitting in the training process.
initial condition), the decryption process fails. This indicates    The PSNR measurement is used for the validation of this
that the key of the proposed technique is extremely sensitive.      design. Table IV illustrates the PSNR values before and after
Investigation of the results also indicate that the maximum
allowable variation in the initial condition value to yield suc-                                 TABLE III.
cessful decryption is 10-17.                                        CORRELATION COEFFICIENTS IN THE THREE DIRECTIONS

G. Key Space Analysis                                                       FOR VARIOUS COLOR-ENCRYPTED IMAGES.
A key space analysis is performed to determine the number
of distinct keys that can be used in the encryption proce-          Images            Channels  VD       HD       DD
dure. The proposed image encryption scheme assumes that             BLaebnoao-n       Red       -0.0012  -0.0013  -0.0002
the transmitter and receiver share the secret keys and vari-                          Green     0.0018   -0.0004  0.0020
ables via a secure channel. seventeen keys are involved here:       ABiarprblaanrae-  Blue      0.0010   -0.0000  0.0005
a, r, b1, b2, b3, b4, b5, b6,C1,C2,C3,C4,C5,C6,C7,C8, and C9.                         Red       0.0032   0.0038   -0.0019
Because the calculation precision of the double precision num-      PSeapiplbeorsat-  Green     -0.0052  0.0029   -0.0013
ber is 10-16, the key space of the algorithm will be more than                        Blue      0.0004   -0.0024  0.0047
(1016)17 = 2903 > 2100 which is sufficiently large to resist all                      Red       -0.0041  0.0053   -0.0013
types of brute force attacks.                                                         Green     0.0004   -0.0013  -0.0000
                                                                                      Blue      -0.0011  0.0093   -0.0017
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