Optimising Fractal Encoding Using Cuttlefish Optimisation Algorithm

Author(s):  
Smriti Sehgal ◽  
Laxmi Ahuja ◽  
M. Hima Bindu
2021 ◽  
Vol 158 ◽  
pp. S113-S115
Author(s):  
C. Bélanger ◽  
É. Poulin ◽  
S. Aubin ◽  
J.A.M. Cunha ◽  
L. Beaulieu

2017 ◽  
Vol 105 ◽  
pp. 30-47 ◽  
Author(s):  
Shahrzad Saremi ◽  
Seyedali Mirjalili ◽  
Andrew Lewis

Fractals ◽  
2009 ◽  
Vol 17 (02) ◽  
pp. 149-160 ◽  
Author(s):  
SHIGUO LIAN ◽  
XI CHEN ◽  
DENGPAN YE

In recent work, various fractal image coding methods are reported, which adopt the self-similarity of images to compress the size of images. However, till now, no solutions for the security of fractal encoded images have been provided. In this paper, a secure fractal image coding scheme is proposed and evaluated, which encrypts some of the fractal parameters during fractal encoding, and thus, produces the encrypted and encoded image. The encrypted image can only be recovered by the correct key. To maintain security and efficiency, only the suitable parameters are selected and encrypted through investigating the properties of various fractal parameters, including parameter space, parameter distribution and parameter sensitivity. The encryption process does not change the file format, keeps secure in perception, and costs little time or computational resources. These properties make it suitable for secure image encoding or transmission.


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