- See also
- References
Contrast-to-noise ratio (CNR)[1] is a measure used to determine image quality. CNR is similar to the metric, signal-to-noise ratio (SNR), but subtracts off a term before taking the ratio. This is important when there is a significant bias in an image, such as from haze.[2] As can be seen in the picture at right, the intensity is rather high even though the features of the image are washed out by the haze. Thus this image may have a high SNR metric, but will have a low CNR metric.
One way to define contrast-to-noise ratio is:[3][4]
where SA and SB are signal intensities for signal producing structures A and B in the region of interest and σo is the standard deviation of the pure image noise.
See also
- Contrast resolution
References
1. ^{{cite journal|last1=Welvaert|first1=Marijke|last2=Rosseel|first2=Yves|last3=Yacoub|first3=Essa|title=On the Definition of Signal-To-Noise Ratio and Contrast-To-Noise Ratio for fMRI Data|journal=PLoS ONE|date=6 November 2013|volume=8|issue=11|pages=e77089|doi=10.1371/journal.pone.0077089|bibcode=2013PLoSO...877089W}}
2. ^{{cite journal|last1=Jiang|first1=Hou|last2=Lu|first2=Ning|last3=Yao|first3=Ling|title=A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images|journal=Remote Sensing|date=14 October 2016|volume=8|issue=10|pages=844|doi=10.3390/rs8100844|bibcode=2016RemS....8..844J}}
3. ^{{Cite web|url=http://www.moderntech.com.hk/sites/default/files/whitepaper/V06_Manuscript_0.pdf|title=Practical Evaluation of Image Quality in Computed Radiographic (CR) Imaging Systems|last=Desai|first=Nikunj|date=|website=|publisher=|access-date=}}
4. ^{{cite journal|last1=Timischl|first1=F.|title=The contrast-to-noise ratio for image quality evaluation in scanning electron microscopy|journal=Scanning|date=January 2015|volume=37|issue=1|pages=54–62|doi=10.1002/sca.21179|pmid=25533747}}
{{Noise}}2. ^{{cite journal|last1=Jiang|first1=Hou|last2=Lu|first2=Ning|last3=Yao|first3=Ling|title=A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images|journal=Remote Sensing|date=14 October 2016|volume=8|issue=10|pages=844|doi=10.3390/rs8100844|bibcode=2016RemS....8..844J}}
3. ^{{Cite web|url=http://www.moderntech.com.hk/sites/default/files/whitepaper/V06_Manuscript_0.pdf|title=Practical Evaluation of Image Quality in Computed Radiographic (CR) Imaging Systems|last=Desai|first=Nikunj|date=|website=|publisher=|access-date=}}
4. ^{{cite journal|last1=Timischl|first1=F.|title=The contrast-to-noise ratio for image quality evaluation in scanning electron microscopy|journal=Scanning|date=January 2015|volume=37|issue=1|pages=54–62|doi=10.1002/sca.21179|pmid=25533747}}
1 : Image processing
- Carbon Solutions Global
- Carbon sulfide (disambiguation)
- Carbon sulfur bond
- Carbon tariff
- Carbon taxes in the United States
- Carbon tax in Australia
- Carbon tetriodide
- Carbon-Thompson coalfield
- Carbon Thumbprint
- Carbon tissue
- Carbon-to-carbon bond
- Carbon transducer
- Carbon (video game developer)
- Carbonville
- Carbonville, Utah
- Carbon War Room
- Carbon, WV
- Carbon, Wyoming
- Carbonyl allylation
- Carbonyl alpha-substitution reactions
- Carbonyl-codeine
- Carbonylcodeine
- Carbonyl codeine
- Carbonyl Group
- Carbonyls