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Proceedings Paper

Comparative study of image restoration techniques in forensic image processing
Author(s): Jurrien Bijhold; Arjan Kuijper; Jaap-Harm Westhuis
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Paper Abstract

In this work we investigated the forensic applicability of some state-of-the-art image restoration techniques for digitized video-images and photographs: classical Wiener filtering, constrained maximum entropy, and some variants of constrained minimum total variation. Basic concepts and experimental results are discussed. Because all methods appeared to produce different results, a discussion is given of which method is the most suitable, depending on the image objects that are questioned, prior knowledge and type of blur and noise. Constrained minimum total variation methods produced the best results for test images with simulated noise and blur. In cases where images are the most substantial part of the evidence, constrained maximum entropy might be more suitable, because its theoretical basis predicts a restoration result that shows the most likely pixel values, given all the prior knowledge used during restoration.

Paper Details

Date Published: 19 February 1997
PDF: 12 pages
Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); doi: 10.1117/12.267174
Show Author Affiliations
Jurrien Bijhold, Institute of Forensic Pathology (Netherlands)
Arjan Kuijper, Univ. Twente (Netherlands)
Jaap-Harm Westhuis, Univ. Twente (Netherlands)


Published in SPIE Proceedings Vol. 2942:
Investigative Image Processing
Leonid I. Rudin; Simon K. Bramble, Editor(s)

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