We investigate the robustness of an image encryption technique that us
es random phase encoding in both the input plane and the Fourier plane
when the encrypted image has been distorted. The distortions include
different types of noise, loss of encrypted data, and the binarization
of the encrypted image. It is shown that decryption transforms the no
ise added to the encrypted image to a wide-sense stationary additive w
hite noise. Consequently, regardless of the type of the noise added to
the encrypted image, the quality of the recovered image can be improv
ed by processing techniques designed for filtering out additive white
noise. The double-phase encryption technique distributes the input ima
ge over the entire output plane, which provides robustness to the dist
ortions due to toss of encrypted data. Regarding the binarization, it
enables easy implementation and data compression while recovering imag
es of good quality may be possible. (C) 1997 Society of Photo-Optical
Instrumentation Engineers.