
Proceedings Paper
Image bloom testing and analysisFormat | Member Price | Non-Member Price |
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Paper Abstract
The performance of imaging systems continues to increase and diversify as a result of the ability to measure, analyze,
and improve the limiting aspects of imaging systems. Bloom is one such limiting aspect. In an image, bright regions of
light noticeably bleed into darker regions of light causing the phenomenon referred to as "bloom". The occurrence of
bloom is theoretically a direct consequence of the diffraction pattern of an aperture. In practice, bloom is caused both
optically by non-ideal lenses and electronically by the bleeding of overly saturated pixels. In analyzing optical
instruments, circular apertures are of particular interest since their theoretical diffraction patterns are well known,
consisting of an Airy Disk and alternating concentric dark and bright rings. In the image formed by a circular aperture,
relative intensity can be observed by dividing all pixel intensity values by the peak pixel intensity. Bloom cut off
percentages may be analyzed from their relative distances to the threshold peak intensity. Instrument performance may
thus be measured against theoretical Airy function values or by comparing different images produced by the same
instrument under similar conditions. Additionally, polynomials of single digit orders may be accurately fit to the pixel
array data. By approximating the data with polynomials, pertinent information on derivatives, local slopes, and integrals
may be analytically as well as numerically obtained.
Paper Details
Date Published: 15 April 2010
PDF: 15 pages
Proc. SPIE 7701, Visual Information Processing XIX, 77010M (15 April 2010); doi: 10.1117/12.850559
Published in SPIE Proceedings Vol. 7701:
Visual Information Processing XIX
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)
PDF: 15 pages
Proc. SPIE 7701, Visual Information Processing XIX, 77010M (15 April 2010); doi: 10.1117/12.850559
Show Author Affiliations
Miguel A. Medina, Electro Optical Industries (United States)
Jason A. Mazzetta, Electro Optical Industries (United States)
Jason A. Mazzetta, Electro Optical Industries (United States)
Stephen D. Scopatz, Electro Optical Industries (United States)
Published in SPIE Proceedings Vol. 7701:
Visual Information Processing XIX
Zia-ur Rahman; Stephen E. Reichenbach; Mark A. Neifeld, Editor(s)
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