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Proceedings Paper

Identification of image noise sources in digital scanner evaluation
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Paper Abstract

For digital image acquisition systems, analysis of image noise often focuses on random sources, such as those associated with quantum signal detection and signal-independent fluctuations. Other important noise sources result in pixel-to-pixel sensitivity variations that introduce repeatable patterns into the image data. In addition, since most analyses use a nominally uniform target area to estimate image noise statistics, target noise can often masquerade as noise introduced by the device under test. We described a method for distilling various fixed-pattern and temporal noise sources. The method uses several replicate digital images, acquired in register. In some cases, however, evaluation of digital scanners reveals, scan-to-scan variation in the image registration to the input test target. To overcome this limitation, a modified noise estimation method is described. This includes a step to correct this scan-to-scan misregistration. We also show how the measurement of temporal and fixed pattern noise sources can be achieved via the noise color covariance from a single test image.

Paper Details

Date Published: 18 December 2003
PDF: 10 pages
Proc. SPIE 5294, Image Quality and System Performance, (18 December 2003); doi: 10.1117/12.532369
Show Author Affiliations
Peter D. Burns, Eastman Kodak Co. (United States)
Don Williams, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 5294:
Image Quality and System Performance
Yoichi Miyake; D. Rene Rasmussen, Editor(s)

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