Van den Bergh, Frans2021-08-062021-08-062019-06Van 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/10204/120751084-75291520-8532https://doi.org/10.1364/JOSAA.36.001126http://hdl.handle.net/10204/12075The 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.FulltextenSlanted-edge methodSpatial frequency responseDigital imaging systemsRobust edge spread function construction methods to counter poor sample spacing uniformity in the slanted-edge methodArticleVan 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/10204/12075Van 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/10204/12075Van 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.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 -22449