Secure Image Authentication Scheme Using Double Random-Phase Encoding and Compressive Sensing

Double random-phase encoding- (DRPE-) based compressive sensing (CS) systems support image authentication for noisy images. When extending such systems to resource-constrained applications, how to ensure the authentication strength for noisy images becomes challenging. To tackle the issue, an efficient and secure image authentication scheme is presented. The phase information of the plain image is generated using DRPE and quantized into a binary image as the authentication information. Meanwhile, a sparser error matrix generated by the same plain image and vector quantization (VQ) image works as the input of CS. The authentication information and VQ indexes are self-hidden into the quantized measurements to construct the combined image. Then, it is permutated and diffused with the chaotic sequences generated from a modified Henon map. After decryption at the receiver side, the verifier can implement the blind authentication between the noisy decoded image and the reconstructed image. Supported by the detailed numerical simulations and theoretical analyses, the DRPE-CSVQ exhibits more powerful compression and authentication capability than its counterpart.

Real Time Medical Image Encryption Based on Digitial Hologram in Various Optical Domains

The use of digital hologram (DH) in optical medical images is analyzed in this paper. These analyses are done in various domains of double random phase encoding and it has been proposed. The domains are fractional Fourier, Gyrator, Fractional Hartley and Fresnel. In order to use in real time scheming, this proposal are used many medical images such as MRI Scan, X-ray and mammograms. These medical images are optically explored with the various domains of double random phase encoding. At that time, various encryption areas in double random phase encoding (DRPE) are considered with boosted confidence of security. The encryption and decryption process in various domains makes the complete chart analysis for all kind of medical images which can be used for real time processing. Simulation analysis and results shows the legitimacy and efficiency of proposed scheme.

Cryptanalysis of DRPE Using Complex S-Box Based on Linear Canonical Transform

During recent decades, double random phase encoding grasped more attention for researchers. To achieve nonlinearity, it had been done with random S-Box. We exhibit this involvement that DRPE system is much vulnerable in the above methodology. Concatenating anything with DRPE needs an imaginary value, wherein s-box unsuccessful in it. Used S-box has been reformed into various sizes. Due to this scenario, S-box values are replicating. So, complex S-box has been employed and proposed size of the s-box is similar to an input image. Numerical simulations have been performed out to validate the practicability and trustworthiness of traditional DRPE system with complex S-box.