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Application of spatial-domain convolution/deconvolution transform for determining distance from image defocus

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

This paper describes the application of a new Spatial-Domain Convolution/Deconvolution transform (S transform) for determining distance of objects and rapid autofocusing of camera systems using image defocus. The method of determining distance, named STM, involves simple local operations on only a few (about 2 to 4) images and it can be easily implemented in parallel. STM has been implemented on an actual camera system named SPARCS. Experiments on the performance of STM and their results on real-world objects are presented. The results indicate that STM is useful in practical applications. The utility of the method is demonstrated for rapid autofocusing of electronic cameras. STM is computationally more efficient than other methods, but for our camera system, it is somewhat less robust in the presence of noise than a Fourier transform based approach. STM is a useful technique in many applications such as rapid autofocusing.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages159-167
Number of pages9
ISBN (Print)0819410233
StatePublished - 1993
EventOptics, Illumination, and Image Sensing for Machine Vision VII - Boston, MA, USA
Duration: Nov 15 1992Nov 16 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1822
ISSN (Print)0277-786X

Conference

ConferenceOptics, Illumination, and Image Sensing for Machine Vision VII
CityBoston, MA, USA
Period11/15/9211/16/92

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