A comparative analysis of phase retrieval algorithms in asymmetric double image cryptosystem in gyrator domain.

In this paper, an asymmetric scheme based on double image using phase retrieval algorithms in gyrator domain is reported. The double images are encrypted using QZ synthesis method based on QZ algorithm. The synthesized image is bonded with a random phase mask and undergoes a gyrator transform. The resultant image act as an input for the phase retrieval algorithm. We have tested the scheme with five different phase retrieval algorithms, namely the Gerchberg-Saxton algorithm, modified Gerchberg-Saxton algorithm, input–output algorithm, Yang-Gu mixture amplitude-phase retrieval algorithm, and improved amplitude-phase retrieval algorithm. Simulations are executed to show the performance, feasibility, and robustness of the scheme. The gyrator parameter and private keys are highly sensitive to a small change to their original value. Performance of different phase retrieval algorithms on the scheme is evaluated using multi-attribute decision-making tool: TOPSIS method. Results suggest that the Yang-Gu mixture amplitude-phase retrieval algorithm performs better among phase retrieval algorithms and has ranked 1 in TOPSIS analysis. This has been validated by the figures reported in the paper. [ABSTRACT FROM AUTHOR]