Table 11 Noise analysis applied on different images and compared with recent literature.

From: A secure and efficient image encryption scheme based on chaotic systems and nonlinear transformations

Noise Type

Ratio

Metric

Proposed

40

Mandrill

Peppers

F16

Mandrill

Peppers

F16

Occlusion Attack

1/4

PSNR

7.677

7.283

6.176

10.425

10.537

10.450

MSE

11101.20

12155.50

15685.60

6508.43

6570.40

6721.35

1/2

PSNR

6.493

6.328

5.183

12.558

12.151

12.116

MSE

14580.20

15144.30

19715.00

478.21

4856.10

4881.20

Gaussian Noise

0.000001

PSNR

8.92697

8.10321

7.98535

7.861

7.840

7.562

MSE

8324.98

10063.7

10340.6

9706.50

9970.20

9991.40

0.000007

PSNR

8.92697

8.10322

7.98535

8.052

8.082

7.852

MSE

8324.98

10063.7

10345.2

9126.10

9117.50

9198.60

Salt and Pepper

0.01

PSNR

8.85161

8.05093

7.93526

MSE

8470.71

10185.6

10460.6

0.1

PSNR

7.283

7.913

7.540

MSE

12155.50

10513.90

11456.60