dc.contributor.author |
Van den Bergh, Frans
|
|
dc.date.accessioned |
2021-08-06T10:27:53Z |
|
dc.date.available |
2021-08-06T10:27:53Z |
|
dc.date.issued |
2019-06 |
|
dc.identifier.citation |
Van den Bergh, F. 2019. Robust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge method. <i>Journal of the Optical Society of America A, 36(7).</i> http://hdl.handle.net/10204/12075 |
en_ZA |
dc.identifier.issn |
1084-7529 |
|
dc.identifier.issn |
1520-8532 |
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dc.identifier.uri |
https://doi.org/10.1364/JOSAA.36.001126
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/12075
|
|
dc.description.abstract |
The slanted-edge method describes an algorithm for measuring the spatial frequency response (SFR) of digital imaging systems. The method can be applied to edges oriented at nearly any angle, but there are some angles that cause simplistic implementations of the algorithm to fail, or produce inaccurate measurements. These angle-dependent phenomena are demonstrated to stem from a lack of uniformity in supersample spacing in the edge spread function (ESF). Two well-known slanted-edge implementation variants are adapted to minimize edge orientation dependent errors. These robust slanted-edge implementations are demonstrated yield accurate measurements, regardless of edge orientation angle or moderate image noise. |
en_US |
dc.format |
Fulltext |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-36-7-1126 |
en_US |
dc.source |
Journal of the Optical Society of America A, 36(7) |
en_US |
dc.subject |
Slanted-edge method |
en_US |
dc.subject |
Spatial frequency response |
en_US |
dc.subject |
Digital imaging systems |
en_US |
dc.title |
Robust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge method |
en_US |
dc.type |
Article |
en_US |
dc.description.pages |
1126-1136 |
en_US |
dc.description.note |
© 2019 Optical Society of America. Due to copyright restrictions, the attached PDF file contains the accepted version of the published item. For access to the published version, please consult the publisher's website: https://www.osapublishing.org/josaa/abstract.cfm?uri=josaa-36-7-1126 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
Remote Sensing |
en_US |
dc.identifier.apacitation |
Van den Bergh, F. (2019). Robust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge method. <i>Journal of the Optical Society of America A, 36(7)</i>, http://hdl.handle.net/10204/12075 |
en_ZA |
dc.identifier.chicagocitation |
Van den Bergh, Frans "Robust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge method." <i>Journal of the Optical Society of America A, 36(7)</i> (2019) http://hdl.handle.net/10204/12075 |
en_ZA |
dc.identifier.vancouvercitation |
Van den Bergh F. Robust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge method. Journal of the Optical Society of America A, 36(7). 2019; http://hdl.handle.net/10204/12075. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Van den Bergh, Frans
AB - The slanted-edge method describes an algorithm for measuring the spatial frequency response (SFR) of digital imaging systems. The method can be applied to edges oriented at nearly any angle, but there are some angles that cause simplistic implementations of the algorithm to fail, or produce inaccurate measurements. These angle-dependent phenomena are demonstrated to stem from a lack of uniformity in supersample spacing in the edge spread function (ESF). Two well-known slanted-edge implementation variants are adapted to minimize edge orientation dependent errors. These robust slanted-edge implementations are demonstrated yield accurate measurements, regardless of edge orientation angle or moderate image noise.
DA - 2019-06
DB - ResearchSpace
DP - CSIR
J1 - Journal of the Optical Society of America A, 36(7)
KW - Slanted-edge method
KW - Spatial frequency response
KW - Digital imaging systems
LK - https://researchspace.csir.co.za
PY - 2019
SM - 1084-7529
SM - 1520-8532
T1 - Robust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge method
TI - Robust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge method
UR - http://hdl.handle.net/10204/12075
ER - |
en_ZA |
dc.identifier.worklist |
22449 |
en_US |