A recently developed method for the restoration of motion-blurred images is
investigated and implemented for the special complicated case of image blu
r due to sinusoidal vibrations. Sinusoidal vibrations are analyzed in the c
ontext of blur identification and image restoration. The extent of the blur
and the optical transfer function (OTF) are identified from the blurred im
age by a straightforward process without the use of iterative techniques. T
he blurred image is restored using a simple Wiener filter with the identifi
ed OTF. The main novel achievement is the use of only a single vibrated blu
rred image as input information, on which the restoration process is based.
The various cases of blur types that depend on the imaging conditions are
considered. Examples of blur identification and image restoration are prese
nted. (C) 2000 Society of Photo-Optical Instrumentation Engineers. [S0091-3
286(00)01408-2].