Identification of image noise sources in digital scanner evaluation

Peter D. Burns; Don Williams

doi:10.1117/12.532369

18 December 2003 Identification of image noise sources in digital scanner evaluation

Peter D. Burns, Don Williams

Proceedings Volume 5294, Image Quality and System Performance; (2003) https://doi.org/10.1117/12.532369
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

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.

Citation Download Citation

Peter D. Burns and Don Williams "Identification of image noise sources in digital scanner evaluation", Proc. SPIE 5294, Image Quality and System Performance, (18 December 2003); https://doi.org/10.1117/12.532369

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