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{{Short description|Noise pattern on digital imaging sensors}}
{{For|fixed
'''Fixed-pattern noise''' ('''FPN
==Overview==
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Sometimes pixel noise<ref>Commercial Sensor Survey Radiation Testing Progress Report http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/40825/1/08-22.pdf {{Webarchive|url=https://web.archive.org/web/20090414034557/http://trs-new.jpl.nasa.gov/dspace/bitstream/2014/40825/1/08-22.pdf |date=2009-04-14 }}</ref> as the average deviation from the array average under different illumination and temperature conditions is specified. Pixel noise therefore gives a number (commonly expressed in [[root mean square|rms]]) that identifies FPN in all permitted imaging conditions, which might strongly deteriorate if additional electrical gain (and noise) is included. Recent uses for PRNU include measures to fighting motion picture piracy.
In practice, a long exposure (integration time) emphasizes the inherent differences in pixel response so they may become a visible defect, degrading the image. Although FPN does not change appreciably across a series of captures, it may vary with integration time, imager temperature, imager gain and incident illumination
== Suppression of FPN ==
FPN is commonly suppressed by [[flat-field correction]] (FFC) that uses DSNU and PRNU to linearly interpolate and reduce the local photo response (non-uniform PRNL) to the array average. Hence, two exposures with an equal illumination across the array are necessary (one without light and one close to saturation) to obtain the values. Note that this correction usually is very sensitive to modifications of the system parameters (i.e., exposure time, temperature). The main challenge is to generate a flat
Many patents and methods exist to reduce or eliminate fixed
== See also ==
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