Comparison of an Iterative Deconvolution and Wiener Filtering for Image Restoration

Moe Razaz, Richard A. Lee

Research output: Chapter in Book/Report/Conference proceedingChapter


Linear deconvolution techniques usually suffer from a number of short comings such as generation of negative pixel values and artefacts which lead to poor quality restored images. This paper discusses the application of a nonlinear iterative deconvolution algorithm to both synthetic and real images, and the results are compared with the Wiener inverse filter. Experimental res11lts are presented which show that the nonlinear algorithm always produces restored images with much better quality than the Wiener filter. In particular the Wiener filter shows poor performance when applied to images with a low signal-to-noise ratio.
Original languageEnglish
Title of host publicationImage Processing
Subtitle of host publicationMathematical Methods and Applications
EditorsJ. M. Blackledge
PublisherOxford University Press
Number of pages16
ISBN (Electronic)9781383022544
ISBN (Print)9780198511977
Publication statusPublished - 1997

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