NDLI: Cryptosystem for Securing Image Encryption Using Structured Phase Masks in Fresnel Wavelet Transform Domain

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Cryptosystem for Securing Image Encryption Using Structured Phase Masks in Fresnel Wavelet Transform Domain

Content Provider	Springer Nature Link
Author	Singh, Hukum
Copyright Year	2016
Abstract	A cryptosystem for securing image encryption is considered by using double random phase encoding in Fresnel wavelet transform (FWT) domain. Random phase masks (RPMs) and structured phase masks (SPMs) based on devil’s vortex toroidal lens (DVTL) are used in spatial as well as in Fourier planes. The images to be encrypted are first Fresnel transformed and then single-level discrete wavelet transform (DWT) is apply to decompose $$LL,HL, LH$$ and $$HH$$ matrices. The resulting matrices from the DWT are multiplied by additional RPMs and the resultants are subjected to inverse DWT for the encrypted images. The scheme is more secure because of many parameters used in the construction of SPM. The original images are recovered by using the correct parameters of FWT and SPM. Phase mask SPM based on DVTL increases security that enlarges the key space for encryption and decryption. The proposed encryption scheme is a lens-less optical system and its digital implementation has been performed using MATLAB 7.6.0 (R2008a). The computed value of mean-squared-error between the retrieved and the input images shows the efficacy of scheme. The sensitivity to encryption parameters, robustness against occlusion, entropy and multiplicative Gaussian noise attacks have been analysed.
Starting Page	1
Ending Page	18
Page Count	18
File Format	PDF
Journal	3D Research
Volume Number	7
Issue Number	4
e-ISSN	20926731
Language	English
Publisher	3D Display Research Center
Publisher Date	2016-11-23
Publisher Place	Seoul
Access Restriction	Subscribed
Subject Keyword	FWT DVTL Entropy Mean-squared-error PSNR Signal,Image and Speech Processing Computer Imaging, Vision, Pattern Recognition and Graphics Optics, Lasers, Photonics, Optical Devices
Content Type	Text
Resource Type	Article

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