Digital Autofocus Using Scene Content

Dov Shazeer; Marjorie Harris

Found an issue? Give us feedback

https://doi.org/10.1...arrow_drop_down

https://doi.org/10.1117/12.946...

Article . 1985 . Peer-reviewed

Data sources: Crossref

https://dx.doi.org/10.1117/12....

Other literature type

Data sources: Microsoft Academic Graph

Digital Autofocus Using Scene Content

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 11 Jul 1985Publisher:SPIEJournal:SPIE Proceedings, volume 534, page 150 (issn: 0277-786X,

Copyright policy )

Authors: Dov Shazeer; Marjorie Harris;

doi: 10.1117/12.946575

Digital Autofocus Using Scene Content

- Summary
- Metrics

Abstract

A real-time digital scene based focusing algorithm, which will be implemented on the Honeywell FUR is described. Focus merit functions (FMF) which are optimal for Honeywell FUR imagery are examined. The algorithm was tested by demonstrating its capability to focus on a static scene.

Related Organizations

Honeywell
Switzerland

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average