Multiscale filtering approach to focus blur removal

Anthony J. Maeder, Karl Geppert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Detection and subsequent removal of focus blur in digital images is often undertaken using expensive computational solutions. An alternative approach using simple gradient-based edge detection masks of varying sizes applied locally is presented here. Results indicate that this approach is able to provide significant improvement in the perceived sharpness of blurred edges.

Original languageEnglish
Title of host publicationInverse problems in scattering and imaging
Subtitle of host publication20-22 July 1992, San Diego, California
PublisherPubl by Int Soc for Optical Engineering
Pages159-163
Number of pages5
Volume1767
ISBN (Print)0819409405
Publication statusPublished - 1992
Externally publishedYes
EventInverse Problems in Scattering and Imaging - San Diego, CA, USA
Duration: 20 Jul 199222 Jul 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1767
ISSN (Print)0277-786X

Conference

ConferenceInverse Problems in Scattering and Imaging
CitySan Diego, CA, USA
Period20/07/9222/07/92

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  • Cite this

    Maeder, A. J., & Geppert, K. (1992). Multiscale filtering approach to focus blur removal. In Inverse problems in scattering and imaging: 20-22 July 1992, San Diego, California (Vol. 1767, pp. 159-163). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1767). Publ by Int Soc for Optical Engineering.