Objective:
In the recent multimedia technology images play an integral role in communication. Here in this
paper, we propose a new color image encryption method using FWT (Fractional Wavelet transform), double random
phases and Arnold transform in HSV color domain.
Methods:
Firstly the image is changed into the HSV domain and the encoding is done using the FWT which is the
combination of the fractional Fourier transform with wavelet transform and the two random phase masks are used in the
double random phase encoding. In this one inverse DWT is taken at the end in order to obtain the encrypted image. To
scramble the matrices the Arnold transform is used with different iterative values. The fractional order of FRFT, the
wavelet family and the iterative numbers of Arnold transform are used as various secret keys in order to enhance the level
of security of the proposed method.
Results:
The performance of the scheme is analyzed through its PSNR and SSIM values, key space, entropy, statistical
analysis which demonstrates its effectiveness and feasibility of the proposed technique. Stimulation result verifies its
robustness in comparison to nearby schemes.
Conclusion:
This method develops the better security, enlarged and sensitive key space with improved PSNR and SSIM.
FWT reflecting time frequency information adds on to its flexibility with additional variables and making it more suitable
for secure transmission.
Wavelet Transform Time-Frequency Image and Convolutional Network-Based Motor Imagery EEG Classification
