Chen et al., 2019 - Google Patents
Two-dimensional calibration for fixed-pattern noise reduction of thermal imagesChen et al., 2019
- Document ID
- 9071233875259295958
- Author
- Chen N
- Zhang J
- Zhong S
- Mao W
- Hu D
- Yao L
- Publication year
- Publication venue
- 2019 IEEE International Symposium on Circuits and Systems (ISCAS)
External Links
Snippet
A two-dimensional calibration technique is proposed to reduce fixed-pattern noise in infrared thermal images for extending dynamic range of sampling integration time. Traditional two-point calibration generates correction coefficients by irradiance of two …
- 238000005070 sampling 0 abstract description 28
Classifications
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- H04N5/30—Transforming light or analogous information into electric information
- H04N5/335—Transforming light or analogous information into electric information using solid-state image sensors [SSIS]
- H04N5/357—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N5/365—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
- H04N5/3651—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection and correction
- H04N5/3653—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection and correction between adjacent sensors or output registers for reading a single image
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- H—ELECTRICITY
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- H04N5/30—Transforming light or analogous information into electric information
- H04N5/335—Transforming light or analogous information into electric information using solid-state image sensors [SSIS]
- H04N5/357—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N5/365—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
- H04N5/3651—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection and correction
- H04N5/3658—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection and correction for reducing the column or line fixed pattern noise
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- H04N5/357—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N5/365—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
- H04N5/3651—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection and correction
- H04N5/3655—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection and correction by using a reference source
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- H—ELECTRICITY
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- H04N5/357—Noise processing, e.g. detecting, correcting, reducing or removing noise
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- H04N5/369—SSIS architecture; Circuitry associated therewith
- H04N5/378—Readout circuits, e.g. correlated double sampling [CDS] circuits, output amplifiers or A/D converters
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- H—ELECTRICITY
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- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré, halo, even if the automatic gain control is involved
- H04N5/217—Circuitry for suppressing or minimising disturbance, e.g. moiré, halo, even if the automatic gain control is involved in picture signal generation in cameras comprising an electronic image sensor, e.g. digital cameras, TV cameras, video cameras, camcorders, webcams, to be embedded in other devices, e.g. in mobile phones, computers or vehicles
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- H04N5/225—Television cameras; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
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