CN111385497A - Fixed mode noise elimination method applied to pulse type image sensor - Google Patents
Fixed mode noise elimination method applied to pulse type image sensor Download PDFInfo
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- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N25/67—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
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- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
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- H04N25/63—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to dark current
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Abstract
A fixed mode noise elimination method applied to a pulse type image sensor obtains the existence mode of noise through theoretical analysis, represents the noise introduced by a photodiode, a transistor and dark current respectively, adopts a uniform light source under the condition that a reset voltage and a reference voltage are fixed, obtains a dark current coefficient matrix by using two groups of dark light irradiation, and obtains a coefficient matrix for correcting the noise introduced by the photodiode and the transistor by using one group of strong light irradiation. When complex scenes are really shot, noise elimination can be realized by introducing the two coefficient matrixes, and the imaging quality of the sensor is improved.
Description
Technical Field
The invention relates to the field of CMOS image sensor testing, in particular to a fixed mode noise elimination method applied to a pulse image sensor.
Background
In recent years, image sensors are developed rapidly and are applied more and more widely in the fields of consumer electronics, automotive electronics, intelligent monitoring military reconnaissance and the like. Compared with the traditional frame-based imaging method, the data volume of the pulse interval type image sensor can be reduced to one eighth, and the bottleneck of overlarge data volume during high-speed imaging is solved. However, due to the structural characteristics of the pulse interval type image sensor, the pulse interval type image sensor is greatly influenced by noise, and the imaging quality is seriously influenced.
Due to process dimension variations, there can be mismatch problems between devices, which can lead to non-uniformity of light response and dark current response between pixel arrays. The optical response non-uniformity, i.e., device mismatch, is mainly due to the photodiode variation and transistor-transistor variation. Dark current non-uniformity is caused by photodiode mismatch. By analyzing the structure and imaging characteristics of the sensor, the cause and mode of noise generation are analyzed and compensated and eliminated respectively. In the reconstructed image, the image quality can be obviously improved, and the signal-to-noise ratio is obviously improved.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a fixed mode noise elimination method for a pulse type image sensor, which obtains the existence mode of noise through theoretical analysis, respectively represents the noise introduced by a photodiode, a transistor and dark current, measures a correction coefficient through a uniform illumination test, can realize the elimination of the noise and improve the imaging quality of the sensor.
The pulse type image sensor is constructed as shown in fig. 1, each pixel starts to integrate photo-generated charges after being reset, when the accumulation amount reaches a set threshold value, the pixel generates pulses, the pixel resets after the pulses are output, the integration of the photo-generated charges is restarted, the interval time between two pulses generated by the pixel is determined by the intensity of light, and the light intensity information can be restored by measuring the interval of two times; in the above-mentioned operation mode, the photocurrent is measuredI phAnd discharge time of pixeltInversely proportional and the relationship can be expressed as:
due to the mismatch between the capacitances, the amount of charge actually stored by different photodiodes in the array is non-uniform, which introduces a coefficient at the discharge time t in equation (1), which can be expressed as:
wherein,in order to include a discharge time of the capacitance mismatch,is a value of the change in the capacitance,for the introduced coefficient, its value is;
As the core part of the pixel, when the transistor has deviation, an offset voltage is introduced at the input end of the comparator, the reset tube will also cause the deviation of the reset voltage of the photodiode, and it can also be considered that an offset voltage is introduced at the input end of the comparator, and the offset voltage introduced by the reset tube and the offset voltage introduced by the comparator are combined together to define the total offset voltageV OS,totThis will be at the discharge time of equation (1)tThe above introduces a coefficient:
wherein,in order to introduce the coefficients of the coefficients,is the exposure time interval when the offset voltage is included;
during discharge due to device mismatchMay vary by a factor ofTo show that the deviation of the photodiode is except at the discharge timetThe introduction of a coefficient will also result in dark currentI darkThe non-uniformity of dark current will introduce a factor related to the light intensity, which can be expressed as:
in order to include the discharge time affected by the dark current,a coefficient introduced for dark current, having a value of;
Considering that the image sensor operates continuously in the time domain, the influence of the non-uniformity of the light response can be reflected in the form of time accumulation, first, with uniform lightI ph1Irradiating the sensor for a fixed timeT totalIn the case of the number of pulses per pixel in the arrayN i,j The statistics are carried out, and the statistics are carried out,T totalthe time must be long enough to eliminate the effects of temporal noise; selecting the pulse number of any one pixel as a reference valueNBy passing throughNDivided by the number of pulses of other pixelsN i,j Obtaining a coefficient matrixThe coefficient matrix is used for suppressing the non-uniformity of the light response of the pixel array;
for the reference pixel or pixels it is possible to refer to,Nandtthe relationship between can be expressed as:
is the capacitance value of the reference pixel PD node, andfor the reference pixel to release the voltage, for the convenience of processing, the selected reference pixel may be considered as having no device mismatch, and for other pixels, due to the device mismatch, in fact, the difference of the device mismatch between the pixel and the reference pixel, may be obtained:
is in an array ofi,j) PD node capacitance of a pixel, insteadThe voltage to be discharged for the pixel is divided by equation (6) using equation (5) to obtain the coefficient matrix of the photoresponse non-uniformity:
considering the current reference voltageV refAnd the power supply voltage of the reset tube is fixedV DDpixTime, dark currentI darkThe effect on each discharge time is fixed, and for the purpose of analysis, it is assumed thatV refAndV DDpixwhen the fixing is carried out, the fixing device,I darkis constant, in the absence of light, the discharge timet darkCan be expressed as:
dividing equation (8) by equation (4) yields the ratio of dark current to photocurrent:
then, it can be calculatedHas a value ofAnd further in the formula (3-9)tAndthe relationship of (d) can be rewritten as:
according to the above formula, the dark current discharge time can be usedThe matrix corrects for dark current non-uniformity.
A fixed mode noise elimination method applied to a pulse type image sensor analyzes the type of noise and the influence on the performance of the image sensor on the basis of a sensor framework, and specifically expresses the noise of a photodiode, a transistor and a dark current part by a formula; different correction algorithms are provided for different noises, the signal-to-noise ratio of the image is obviously improved, and the imaging quality of the sensor is greatly improved.
Drawings
Fig. 1 is a diagram of a pulse-space image sensor architecture.
Detailed Description
The invention is explained in detail below with reference to the figures and examples, without however restricting the scope of protection of the invention thereto.
The noise cancellation approach designed herein requires testing the coefficient matrix of each pixel under uniform illumination. The reset voltage was set to 2.9V, the digital light source was set to illuminate the sensor with a uniform light of 10lux intensity to obtain an average trigger interval matrix D1 for each pixel, and then the dark light intensity was set to 100lux to obtain an average interval D2. The two sets of data are simultaneous to obtain the correction coefficient matrix of dark current. In order to reduce the interference of dark current, the light intensity of the digital light source is set to be 400lux of strong light, if the overexposure phenomenon occurs, the light intensity is properly reduced, each pixel is ensured to be within the upper limit of the light intensity, so that an average interval matrix D3 is obtained, the pixel with the position of (1, 1) is taken as a reference point, all the other points are normalized to be the same as the brightness of the reference point, and a coefficient matrix is obtained。
Claims (1)
1. A fixed mode noise elimination method applied to a pulse type image sensor is characterized in that: the pulse type image sensor is characterized in that each pixel starts to integrate photo-generated charges after being reset, when the accumulation amount reaches a set threshold value, the pixel generates pulses, the pixel resets after the pulses are output, the integration of the photo-generated charges is restarted, the interval time between two pulses generated by the pixel is determined by the intensity of light, and light intensity information can be restored by measuring two intervals; in the above-mentioned operation mode, the photocurrent is measuredI phAnd discharge time of pixeltInversely proportional and the relationship can be expressed as:
due to the mismatch between the capacitances, the amount of charge actually stored by different photodiodes in the array is non-uniform, which introduces a coefficient at the discharge time t in equation (1), which can be expressed as:
wherein,in order to include a discharge time of the capacitance mismatch,is a value of the change in the capacitance,for the introduced coefficient, its value is;
As the core part of the pixel, when the transistor has deviation, an offset voltage is introduced at the input end of the comparator, the reset tube will also cause the deviation of the reset voltage of the photodiode, and it can also be considered that an offset voltage is introduced at the input end of the comparator, and the offset voltage introduced by the reset tube and the offset voltage introduced by the comparator are combined together to define the total offset voltageV OS,totThis will be at the discharge time of equation (1)tThe above introduces a coefficient:
wherein,in order to introduce the coefficients of the coefficients,is the exposure time interval when the offset voltage is included;
the discharge time variation due to device mismatch can be a factorTo show that the deviation of the photodiode is except at the discharge timetThe introduction of a coefficient will also result in dark currentI darkThe non-uniformity of dark current will introduce a factor related to the light intensity, which can be expressed as:
in order to include the discharge time affected by the dark current,a coefficient introduced for dark current, having a value of;
Considering that the image sensor operates continuously in the time domain, the influence of the non-uniformity of the light response can be reflected in the form of time accumulation, first, with uniform lightI ph1Irradiating the sensor for a fixed timeT totalIn the case of the number of pulses per pixel in the arrayN i,j The statistics are carried out, and the statistics are carried out,T totalthe time must be long enough to eliminate the effects of temporal noise; selecting the pulse number of any one pixel as a reference valueNBy passing throughNDivided by the number of pulses of other pixelsN i,j Obtaining a coefficient matrixThe coefficient matrix is used for suppressing the non-uniformity of the light response of the pixel array;
for the reference pixel or pixels it is possible to refer to,Nandtthe relationship between can be expressed as:
is the capacitance value of the reference pixel PD node, andfor the reference pixel to release the voltage, for the convenience of processing, the selected reference pixel may be considered as having no device mismatch, and for other pixels, due to the device mismatch, in fact, the difference of the device mismatch between the pixel and the reference pixel, may be obtained:
is in an array ofi,j) PD node capacitance of a pixel, insteadThe voltage to be discharged for the pixel is divided by equation (6) using equation (5) to obtain the coefficient matrix of the photoresponse non-uniformity:
considering the current reference voltageV refAnd the power supply voltage of the reset tube is fixedV DDpixTime, dark currentI darkThe effect on each discharge time is fixed, and for the purpose of analysis, it is assumed thatV refAndV DDpixwhen the fixing is carried out, the fixing device,I darkis constant, in the absence of light, the discharge timet darkCan be expressed as:
dividing equation (8) by equation (4) yields the ratio of dark current to photocurrent:
then, it can be calculatedHas a value ofAnd further in the formula (3-9)tAndthe relationship of (d) can be rewritten as:
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Cited By (2)
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CN112188127A (en) * | 2020-09-29 | 2021-01-05 | 中国科学院高能物理研究所 | Method, device, medium and equipment for calibrating integral pixel array detector |
CN113473048A (en) * | 2021-06-16 | 2021-10-01 | 天津大学 | Non-uniformity correction method for pulse array image sensor |
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CN1984242A (en) * | 2005-12-16 | 2007-06-20 | 富士通株式会社 | Image data processing circuit and image data processing method |
US20090046177A1 (en) * | 2007-08-14 | 2009-02-19 | Samsung Electronics Co., Ltd. | Method and apparatus for canceling fixed pattern noise in CMOS image sensor |
US20090046180A1 (en) * | 2006-02-10 | 2009-02-19 | Sharp Kabushiki Kaisha | Fixed-Pattern Noise Elimination Apparatus, Solid-State Image Sensing Apparatus, Electronic Appliance, and Fixed-Pattern Noise Elimination Program |
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CN1984242A (en) * | 2005-12-16 | 2007-06-20 | 富士通株式会社 | Image data processing circuit and image data processing method |
US20090046180A1 (en) * | 2006-02-10 | 2009-02-19 | Sharp Kabushiki Kaisha | Fixed-Pattern Noise Elimination Apparatus, Solid-State Image Sensing Apparatus, Electronic Appliance, and Fixed-Pattern Noise Elimination Program |
US20090046177A1 (en) * | 2007-08-14 | 2009-02-19 | Samsung Electronics Co., Ltd. | Method and apparatus for canceling fixed pattern noise in CMOS image sensor |
Non-Patent Citations (2)
Title |
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SANG-HWAN KIM ET AL.: "Reduction of fixed pattern noise in bolometer-type uncooled infrared image sensors using pixel current calibration technique", 《2017 IEEE SENSORS》 * |
徐江涛 等: "基于CMOS图像传感器列级ADC的数字双采样", 《南开大学学报(自然科学版) 》 * |
Cited By (3)
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CN112188127A (en) * | 2020-09-29 | 2021-01-05 | 中国科学院高能物理研究所 | Method, device, medium and equipment for calibrating integral pixel array detector |
CN112188127B (en) * | 2020-09-29 | 2021-08-24 | 中国科学院高能物理研究所 | Method, device, medium and equipment for calibrating integral pixel array detector |
CN113473048A (en) * | 2021-06-16 | 2021-10-01 | 天津大学 | Non-uniformity correction method for pulse array image sensor |
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