In the forensic science field, there are many criminal
data including fingerprints, scene photos and surveillance
camera videotapes. The evidence may become the
key point to solve crimes. However, the evidence may be
contaminated by the noise from crime scenes, or distorted
by improper collection. In this paper, we model this
contamination with PSF’s including 1-D motion blur, 2-
D motion blur, 1-D Gaussian blur, atmospheric turbulence
blur, and uniform out-of-focus blur. We apply the
filters (the inverse filter and the Wiener filter) based on
these PSF’s to image restoration and use synthetic
images to assess their capability.