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733667-001-011-0121
National Archives and Records Administration
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Intelligence summary
This document discusses various aspects of radiometric distortion and noise in imaging systems, focusing on definitions and characteristics of different types of noise and their impact on image quality.
Tags & topics
Imaging SystemsNoise in ImagingRadiometric Distortion Image QualityRadiometric NoiseSensor Calibration
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Jun 15, 2010
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Federal Agencies Digitization Initiative Stil Image Working Group — August 2010
—" — Radiometric Distortion -
? aitite 9 definition: The deviation of any given spatially imaged point from an aim radiant energy value relative to the input object.
w Noise Power Spectrum (NPS) Chromatic Noise
5 Total Noise eee
5 ul M UM Definition : The inter-color channel! radiometric deviations
5 g Definition : A spatial frequency descriptor of the vit em of radiometric noise of an imaging relative to an identified aim
component or m
Tem ral Noise Fixed Pattern Noise Color Uniformity Color SFR uniformity
Random Banding/ Defects = Definition ; A difference in large | Definition: li woleolpel
(stochastic) , (stochastic) ‘ area uniformity/shading spread of light between color
2 8 Definition : The root streaking Definition point or shadin between color channels channels.
8 | mean square deviation | (deterministic) clusters of {determin'stic)
; Definibon : One Definition: A deviation in
= ( std. deviation) of both di defective or poorly alli iin
mensional ‘ the effective illumination
temporal and fixed corrected pixels ‘.
patterns over a capture device's
pattern noise for a , venriniemneapiee
single color channe! ield of view; rang yw
lower illumination near the
field's outer extent.
- Temporal noise « Stripes - Hot, Cold, or - Vignetting - Rainbows — Colored edges
ue - Grain - Banding Dead Pixels - Relative illumination ~ Color Bleed
£ SE | - Shot noise - Streaking - Wounded Pixels ~ Fringing
2% £ - Read noise ~ Blinkers
U - White noise
e @: RMS deviation of | @: The relative @: The number or | @: The percent deviation @: The percent deviation of @: The difference in SFR
@ || 3 pixel values in terms of | amount of size of defects of several large area several large area chroma response between selected
Selected metric(i.e., | variance or noise | per unit sensor luminance measurements | measurements over the field of | color channels,
aos counts, density, | power that a area, over the field of view | view relative to the average of | units: % deviation in SFR
q pt Luminance) over an | selected spatial units: # of relative to the average of | those chroma measurements. response relative to the
: Se identified region of || frequency band defects/unit those measurements, units: % chroma difference highest measured SFR
i 5 fe) interest contributes to senate bran units: % Luminance (unit less) ( unit less)
§ the total noise. difference (unit less)
& units: counts, density, | units: TBD
2) Luminance
- Aggressive digital ~ Poor sensor ~- dust on sensor - poorly designed optics - Chief ray angle (CRA) - Poor optical design or
- signal amplification or calibration ~ poor sensor - non-uniform lighting mismatch between optics and performance
3 w processing - dust/dirt on fabrication sensor
& « High ISO sneed linear array - Non-uniform color coatings at
= 3 selection sensor - poor sensor sensor fabrication.
g - High throughput “ poor sensor calibration
| 2 | workflows calibration