CN116183037A - Scanning method for random appearance type blind pixels - Google Patents
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Abstract
The invention relates to a scanning method of random appearance type blind pixels, which comprises the following steps that before an infrared detector leaves a factory, infrared detection is carried out on a first temperature uniform background and a second temperature uniform background by using the infrared detector, whether each pixel in the infrared detector is a blind pixel is judged according to a response compensation value of each pixel in the infrared detector, and a first blind pixel table is obtained; in the use process of the infrared detector after leaving the factory, infrared detection is carried out on the third temperature uniform background by the infrared detector at preset time intervals, and whether each pixel in the infrared detector is a blind pixel is judged according to the gray compensation value and a plurality of gray compensation values around the gray compensation value, so that a second blind pixel table is obtained; and integrating the first blind pixel table and the second blind pixel table to obtain a final blind pixel table. The invention can accurately and effectively detect newly-increased blind pixels generated after factory blind pixel correction of the infrared detector, ensures the real-time performance of blind pixel detection, and can effectively reduce the influence of the blind pixels on target identification.
Description
Technical Field
The invention relates to the field of infrared detector correction, in particular to a scanning method of random blind pixels.
Background
The infrared focal plane detector has the advantages that the process and the manufacturing materials of the infrared focal plane detector cause the difference of the response rate of each pixel, and partial pixels gradually lose effective detection capability due to the influences of electric signal transmission barriers, environmental temperature changes, 1/f noise and the like possibly encountered in the working process of the infrared focal plane detector, so that blind pixels are formed; the pixel points of the blind pixels in the infrared image are displayed as being too bright or too dark; if a large number of blind pixels appear in the infrared image, the quality of the infrared image is reduced, and the accuracy of target identification is further affected. The blind pixel detection method in the prior art comprises the steps of detecting blind pixels of a detector before leaving a factory to generate a blind pixel table, and then replacing pixels of corresponding coordinates of the blind pixels in the blind pixel table in a subsequent image processing process; the defect of doing so is that some blind pixels only appear in a certain temperature section and work normally in other temperature sections, and part of the pixels gradually lose effective detection capability due to the influence of electric signal transmission barriers, environment temperature changes and 1/f noise possibly encountered in the use process of the detector, namely new blind pixels can be generated in the use process, so that all the blind pixels cannot be accurately detected through blind pixel detection before delivery. The prior art further discloses a method for detecting, extracting and correcting blind pixels of a real-time infrared detector, wherein the method is disclosed, wherein the blind pixels with smaller response rate variation differences to a uniform heat radiation surface with respect to normal pixel points are extracted, the response of the blind pixels with smaller response rate variation differences to an infrared image is close to the output of the normal pixel points, the blind pixels are extracted in real time by utilizing a baffle correction technology when the image is subjected to non-uniformity correction, the gray value of the image output is very uniform when the image is subjected to the baffle correction, the acquired baffle image X is taken, the gray average value of the image is EX, and if the absolute value of the difference between the gray value of a certain blind pixel and EX is larger than a threshold value, the blind pixels with smaller response rate variation differences to the uniform heat radiation surface with respect to the normal pixel points are judged; the disadvantage of this is that the criterion for the blind pixels is too severe, which is highly likely to cause erroneous judgment for normal pixels, thereby reducing the definition of the infrared image and causing the image quality to be degraded.
Disclosure of Invention
The invention aims to solve the technical problem of providing a scanning method for random blind pixels, which can determine the blind pixels in real time in daily use after factory blind pixel correction is carried out by infrared thermal imaging equipment, and has high blind pixel judgment accuracy.
The technical scheme for solving the technical problems is as follows: a scanning method for random blind pixels comprises the following steps,
s1, before the infrared detector leaves the factory, respectively carrying out infrared detection on a first temperature uniform background and a second temperature uniform background by using the infrared detector, and correspondingly obtaining a first infrared image and a second infrared image; calculating the average response rate of the infrared detector and the response compensation value of each pixel in the infrared detector according to the first temperature uniform background, the second temperature uniform background, the first infrared image and the second infrared image; judging whether each pixel in the infrared detector is a blind pixel or not according to a preset response compensation range and a response compensation value of each pixel in the infrared detector, and marking the pixel which is the blind pixel in the infrared detector to obtain a first blind pixel table;
s2, in the use process of the infrared detector after leaving the factory, infrared detection is carried out on a third temperature uniform background by using the infrared detector at preset time intervals, and a third infrared image is obtained; according to the average response rate of the infrared detector, the third uniform temperature background and the third infrared image, calculating gray compensation values of pixels in the third infrared image, and storing the gray compensation values of the pixels in the third infrared image into a gray compensation table in a matrix form according to pixel positions; judging whether each pixel in the infrared detector is a blind pixel according to each gray compensation value in the gray compensation table and a plurality of gray compensation values around each gray compensation value, and marking the pixel which is the blind pixel in the infrared detector to obtain a second blind pixel table;
and S3, integrating the first blind pixel table and the second blind pixel table to obtain a final blind pixel table.
The beneficial effects of the invention are as follows: in the scanning method of the random appearance type blind pixels, firstly, uniform backgrounds with different temperatures are adopted before leaving factories, and whether the pixels in the infrared detector are blind pixels or not is judged based on pixel response compensation values, so that the blind pixels formed by factors such as inconsistency of semiconductor materials, manufacturing process, design inconsistency of a multichannel reading circuit and the like can be primarily eliminated; however, due to the influence of electric signal transmission barriers, environmental temperature changes and 1/f noise which are possibly encountered in the use process of the infrared detector after leaving the factory, part of pixels gradually lose effective detection capability, namely new blind pixels can be generated in the use process, and for the part of blind pixels, the invention performs non-uniformity correction once at intervals, namely whether the pixels in the infrared detector are blind pixels or not is judged by utilizing a new temperature uniform background and based on gray level compensation values in the use process, and all the blind pixels in the infrared detector can be accurately and timely scanned; the invention can effectively detect the newly added blind pixels generated after the factory blind pixels of the infrared detector are corrected, ensures the real-time performance of blind pixel detection, can effectively reduce the influence of the blind pixels on target identification, and has wide application prospect in the infrared thermal imaging field.
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Fig. 1 is a flowchart of a scanning method of blind pixels in random appearance according to the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
As shown in fig. 1, a scanning method of blind pixels of random appearance type includes the following steps,
s1, before the infrared detector leaves the factory, respectively carrying out infrared detection on a first temperature uniform background and a second temperature uniform background by using the infrared detector, and correspondingly obtaining a first infrared image and a second infrared image; calculating the average response rate of the infrared detector and the response compensation value of each pixel in the infrared detector according to the first temperature uniform background, the second temperature uniform background, the first infrared image and the second infrared image; judging whether each pixel in the infrared detector is a blind pixel or not according to a preset response compensation range and a response compensation value of each pixel in the infrared detector, and marking the pixel which is the blind pixel in the infrared detector to obtain a first blind pixel table;
s2, in the use process of the infrared detector after leaving the factory, infrared detection is carried out on a third temperature uniform background by using the infrared detector at preset time intervals, and a third infrared image is obtained; according to the average response rate of the infrared detector, the third uniform temperature background and the third infrared image, calculating gray compensation values of pixels in the third infrared image, and storing the gray compensation values of the pixels in the third infrared image into a gray compensation table in a matrix form according to pixel positions; judging whether each pixel in the infrared detector is a blind pixel according to each gray compensation value in the gray compensation table and a plurality of gray compensation values around each gray compensation value, and marking the pixel which is the blind pixel in the infrared detector to obtain a second blind pixel table;
and S3, integrating the first blind pixel table and the second blind pixel table to obtain a final blind pixel table.
In this embodiment, the specific steps of S1 include the following steps S11 to S16:
s11, respectively carrying out infrared detection on the first temperature uniform background and the second temperature uniform background by using the infrared detector, and correspondingly obtaining a first infrared image and a second infrared image; the first temperature uniform background is a high temperature uniform background, and the second temperature uniform background is a low temperature uniform background; the high temperature uniform background is relatively speaking, and specifically, the high temperature range in the high temperature uniform background is 40 to 60 ℃ (for example, the first temperature uniform background may be selected as a uniform background with a temperature of 40 ℃ or 50 ℃ or 60 ℃), and the low temperature range in the low temperature uniform background is 0 to 10 ℃ (for example, the second temperature uniform background may be selected as a uniform background with a temperature of 0 ℃ or 5 ℃ or 10 ℃).
S12, calculating the gray average value of the first infrared image according to the gray values of all pixels in the first infrared image, and calculating the gray average value of the second infrared image according to the gray values of all pixels in the second infrared image.
S13, calculating the average response rate of the infrared detector according to the gray value of the first temperature uniform background, the gray value of the second temperature uniform background, the gray average value of the first infrared image and the gray average value of the second infrared image; specifically, the formula for calculating the average response rate of the infrared detector is as follows,
wherein K is the average response rate of the infrared detector,
for the gray-scale mean value of the first infrared image, and (2)>
X is the gray average value of the second infrared image 1 For the gray value of the first temperature uniform background, x 2 And (5) homogenizing the gray value of the background for the second temperature.
S14, calculating the pixel response rate of each pixel in the infrared detector according to the gray value of each pixel in the first infrared image and the second infrared image based on the gray value of the first temperature uniform background and the gray value of the second temperature uniform background; specifically, the formula for calculating the pixel response rate of each pixel in the infrared detector is as follows,
wherein k is i,j For the pixel response rate of the ith row and jth column pixels in the infrared detector,
for the gray scale of the ith row and jth column pixels in the first infrared imageValue of->
For the gray value, x of the ith row and jth column pixels in the second infrared image 1 For the gray value of the first temperature uniform background, x 2 And (5) homogenizing the gray value of the background for the second temperature.
S15, respectively compensating the pixel response rate of each pixel in the infrared detector according to the average response rate to obtain a response compensation value of each pixel in the infrared detector; specifically, the compensation formula of the response compensation value of each pixel in the infrared detector is as follows,
wherein sigma i,j The response compensation value of the pixel in the ith row and the jth column in the infrared detector is K, wherein K is the average response rate of the infrared detector and K is i,j The pixel response rate of the ith row and jth column pixels in the infrared detector is obtained; in this step, an imaging element response compensation table can be made from the response compensation values of all pixels in the infrared detector and stored in a memory (for example, a Flash chip), so as to perform blind element judgment and later blind element correction.
S16, judging whether a response compensation value of each pixel in the infrared detector exceeds a preset response range, judging the pixel of which the response compensation value exceeds the preset response range as a blind pixel, and marking the pixel of which the pixel is the blind pixel in the infrared detector to obtain the first blind pixel table;
this step is performed by sigma i,j And (3) judging the size of the blind pixels before the infrared detector leaves the factory, and marking the blind pixels (this is the first blind pixel judgment). Sigma is counted according to the acquisition result of experimental data i,j The value of (2) is located around 1. In practical application, if sigma i,j The value of (2) is too large or too small, namely the pixel response is abnormal, and the pixel is judged to be a blind pixel.
In this embodiment, the specific steps of S2 include the following steps S21 to S25:
s21, infrared detection is carried out on the third uniform-temperature background by using the infrared detector, and a third infrared image is obtained; wherein the third temperature uniformity background is a new temperature uniformity background that is different from the first temperature uniformity background and the second temperature uniformity background.
S22, compensating the gray value of each pixel in the third infrared image based on the gray value of the third temperature uniform background and combining the change rate of the infrared detector pixel response function and the gray value of each pixel in the third infrared image to obtain a gray compensation value of each pixel in the third infrared image; specifically, the formula for compensating the gray value of each pixel in the third infrared image is as follows,
wherein b i,j A gray compensation value, x, for the ith row and jth column pixels in the third infrared image 3 K is the average response rate of the infrared detector for the gray value of the third temperature uniform background,
and the gray value of the pixel in the ith row and the jth column in the third infrared image.
S23, writing gray scale compensation values of all pixels in the third infrared image into a gray scale compensation table in a matrix form according to the arrangement positions of the pixels, wherein the obtained gray scale compensation table is shown in the following table 1:
table 1: gray scale compensation table
The m and n are the total number of rows and the total number of columns of the pixels in the third infrared image respectively, and can also be considered as the total number of rows and the total number of columns of the pixels in the infrared detector, because the pixels in the infrared detector are in one-to-one correspondence with the pixels in the detected infrared images (including the first infrared image, the second infrared image and the third infrared image), and therefore, the pixels in the infrared detector are also in one-to-one correspondence with the gray compensation values in the gray compensation table.
S24, selecting any gray compensation value from the gray compensation table, and judging whether a pixel corresponding to the any gray compensation value in the infrared detector is a blind pixel according to the any gray compensation value and a plurality of gray compensation values around the any gray compensation value; the step S24 specifically includes the following steps:
s241, setting any gray compensation value selected from the gray compensation table as b i,j B is searched in the gray level compensation table by a Chinese character 'mi' shape searching method i,j A plurality of gray-scale compensation values around, and b i,j The gray compensation values around are b i-1,j-1 、b i-1,j 、b i-1,j+1 、b i,j-1 、b i,j+1 、b i+1,j-1 、b i+1,j And b i+1,j+1 The method comprises the steps of carrying out a first treatment on the surface of the Wherein b i,j For gray compensation values (b) for ith row and jth column pixels in the third infrared image i-1,j-1 B, compensating the gray level of the ith-1 row and jth-1 column pixels in the third infrared image i-1,j 、b i-1,j+1 、b i,j-1 、b i,j+1 、b i+1,j-1 、b i+1,j And b i+1,j+1 And so on, and are not described in detail herein), 1 < i < m and 1 < j < n, where m and n are the total number of rows and total columns of pixels in the third infrared image, respectively (this condition represents b i,j Non-edge gray compensation values in the gray compensation table); taking any gray compensation value selected in the gray compensation table as b 2,2 For example, see table 1 b above 2,2 The gray compensation values around the Chinese character 'mi' shape are b respectively 1,1 、b 1,2 、b 1,3 、b 2,1 、b 2,3 、b 3,1 、b 3,2 And b 3,3 。
S242, calculating b i,j A mean value of the surrounding plurality of gray scale compensation values; wherein, let the
B is i,j Average value of gray compensation values of the surroundings
Above is at b i,j Calculated for non-edge gray-scale compensation values in the gray-scale compensation table, if i=1 or/and j=1, or if i=m or/and j=n, (this condition represents b) i，j For the edge gray-scale compensation value in the gray-scale compensation table, i.e. the edge gray-scale compensation value in the first row or first column or last row or last column in the gray-scale compensation table), then b i，j There is a case where there is a missing gray-scale compensation value around, in which case b in the gray-scale compensation table is required i，j The gray compensation value of the edge row or/and the gray compensation value of the edge column is duplicated to supplement b i，j After the gray compensation value missing around, the gray compensation value is retrieved in a zig-zag manner (if b i，j At the edge angle, then b i，j Missing diagonal position copy complement b i，j Itself; taking any gray compensation value selected in the gray compensation table as b 1，1 For example, the supplementary gray-scale compensation table is shown in table 2 below:
table 2: supplementary gray level compensation table
Then b 1，1 The gray compensation values around are b 1，1 、b 1，1 、b 1，2 、b 1，1 、b 1，2 、b 2，1 、b 2，1 And b 2，2 The method comprises the steps of carrying out a first treatment on the surface of the Then refer to above b i，j The principle of calculating the average value of the plurality of gray-scale compensation values around is just to calculate.
If any gray compensation value selected in the gray compensation table is b 2，1 For example, then b 2，1 The gray compensation values around are b 1，1 、b 1，1 、b 1，2 、b 2，1 、b 2，2 、b 3，1 、b 3，1 And b 3，2 ；
If any gray compensation value selected in the gray compensation table is b m，n For example, then at b m，n Right copy complement b m，n The column where (last column) is located, b m，n Copy complement b below m，n Line (last line) where b is located m，n The gray compensation values around are b m-1，n-1 、b m-1，n 、b m-1，n 、b m，n-1 、b m，n 、b m，n-1 、b m，n And b m，n 。
S243, calculating b i，j And (3) with
Absolute value of difference between; wherein let beta i，j B is i，j And->
Absolute value of difference between them>
S244, if beta i，j Beta is greater than beta, then the infrared detector is judged to be matched with b i，j The corresponding pixels are blind pixels; wherein, beta is a preset difference value.
And S25, traversing each gray level compensation value in the gray level compensation table, judging whether each pixel in the infrared detector is a blind pixel according to the step S24, and marking the pixel which is the blind pixel in the infrared detector to obtain the second blind pixel table.
In the scanning method of the random blind pixels, uniform backgrounds with different temperatures are adopted before leaving factories, whether the pixels in the infrared detector are blind pixels or not is judged based on pixel response compensation values, blind pixels formed due to factors such as inconsistency of semiconductor materials, manufacturing technology, design inconsistency of a multi-channel reading circuit and the like can be primarily eliminated, but due to influences of electric signal transmission obstacles, environmental temperature changes and 1/f noise possibly encountered by the infrared detector in the using process, part of pixels gradually lose effective detection capability, namely new blind pixels can be generated in the using process, and for the part of blind pixels, the non-uniformity correction is carried out at intervals, namely whether the pixels in the infrared detector are blind pixels or not is judged based on gray compensation values by utilizing a new uniform background with temperature in the using process, and all the blind pixels in the infrared detector can be accurately and timely scanned; the invention can effectively detect the newly added blind pixels generated after the factory blind pixels of the infrared detector are corrected, ensures the real-time performance of blind pixel detection, can effectively reduce the influence of the blind pixels on target identification, and has wide application prospect in the infrared thermal imaging field.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (10)
1. A scanning method of blind pixels appearing randomly is characterized in that: comprises the steps of,
s1, before the infrared detector leaves the factory, respectively carrying out infrared detection on a first temperature uniform background and a second temperature uniform background by using the infrared detector, and correspondingly obtaining a first infrared image and a second infrared image; calculating the average response rate of the infrared detector and the response compensation value of each pixel in the infrared detector according to the first temperature uniform background, the second temperature uniform background, the first infrared image and the second infrared image; judging whether each pixel in the infrared detector is a blind pixel or not according to a preset response compensation range and a response compensation value of each pixel in the infrared detector, and marking the pixel which is the blind pixel in the infrared detector to obtain a first blind pixel table;
s2, in the use process of the infrared detector after leaving the factory, infrared detection is carried out on a third temperature uniform background by using the infrared detector at preset time intervals, and a third infrared image is obtained; according to the average response rate of the infrared detector, the third uniform temperature background and the third infrared image, calculating gray compensation values of pixels in the third infrared image, and storing the gray compensation values of the pixels in the third infrared image into a gray compensation table in a matrix form according to pixel positions; judging whether each pixel in the infrared detector is a blind pixel according to each gray compensation value in the gray compensation table and a plurality of gray compensation values around each gray compensation value, and marking the pixel which is the blind pixel in the infrared detector to obtain a second blind pixel table;
and S3, integrating the first blind pixel table and the second blind pixel table to obtain a final blind pixel table.
2. The scanning method of random blind pixels according to claim 1, wherein: the step S1 is specifically that,
s11, respectively carrying out infrared detection on the first temperature uniform background and the second temperature uniform background by using the infrared detector, and correspondingly obtaining a first infrared image and a second infrared image;
s12, calculating a gray average value of the first infrared image according to gray values of all pixels in the first infrared image, and calculating a gray average value of the second infrared image according to gray values of all pixels in the second infrared image;
s13, calculating the average response rate of the infrared detector according to the gray value of the first temperature uniform background, the gray value of the second temperature uniform background, the gray average value of the first infrared image and the gray average value of the second infrared image;
s14, calculating the pixel response rate of each pixel in the infrared detector according to the gray value of each pixel in the first infrared image and the second infrared image based on the gray value of the first temperature uniform background and the gray value of the second temperature uniform background;
s15, respectively compensating the pixel response rate of each pixel in the infrared detector according to the average response rate to obtain a response compensation value of each pixel in the infrared detector;
s16, judging whether the response compensation value of each pixel in the infrared detector exceeds a preset response range, judging the pixel with the response compensation value exceeding the preset response range in the infrared detector as a blind pixel, and marking the pixel with the blind pixel in the infrared detector to obtain the first blind pixel table.
3. The scanning method of random blind pixels according to claim 2, wherein: in S13, the formula for calculating the average response rate of the infrared detector is as follows,
wherein K is the average response rate of the infrared detector,
for the gray-scale mean value of the first infrared image, and (2)>
X is the gray average value of the second infrared image 1 For the gray value of the first temperature uniform background, x 2 And (5) homogenizing the gray value of the background for the second temperature. />
4. The scanning method of random blind pixels according to claim 2, wherein: in S14, a formula for calculating a pixel response rate of each pixel in the infrared detector is as follows,
wherein k is i,j For the pixel response rate of the ith row and jth column pixels in the infrared detector,
for the gray value of the ith row and jth column pixels in said first infrared image +.>
For the gray value, x of the ith row and jth column pixels in the second infrared image 1 For the gray value of the first temperature uniform background, x 2 And (5) homogenizing the gray value of the background for the second temperature.
5. The scanning method of random blind pixels according to claim 2, wherein: in S15, a compensation formula of the response compensation value of each pixel in the infrared detector is that,
wherein sigma i,j The response compensation value of the pixel in the ith row and the jth column in the infrared detector is K, wherein K is the average response rate of the infrared detector and K is i,j And the pixel response rate of the pixel in the ith row and the jth column in the infrared detector is obtained.
6. The scanning method for blind pixels according to any one of claims 1 to 5, wherein: the first temperature uniform background is specifically a high temperature uniform background, and the second temperature uniform background is specifically a low temperature uniform background.
7. The scanning method for blind pixels according to any one of claims 1 to 5, wherein: the step S2 is specifically that,
s21, infrared detection is carried out on the third uniform-temperature background by using the infrared detector, and a third infrared image is obtained;
s22, compensating the gray value of each pixel in the third infrared image based on the gray value of the third temperature uniform background and combining the change rate of the infrared detector pixel response function and the gray value of each pixel in the third infrared image to obtain a gray compensation value of each pixel in the third infrared image;
s23, writing gray compensation values of all pixels in the third infrared image into a gray compensation table in a matrix form according to the arrangement positions of the pixels;
s24, selecting any gray compensation value from the gray compensation table, and judging whether a pixel corresponding to the any gray compensation value in the infrared detector is a blind pixel according to the any gray compensation value and a plurality of gray compensation values around the any gray compensation value;
and S25, traversing each gray level compensation value in the gray level compensation table, judging whether each pixel in the infrared detector is a blind pixel according to the step S24, and marking the pixel which is the blind pixel in the infrared detector to obtain the second blind pixel table.
8. The scanning method for blind pixels according to claim 7, wherein: in S22, the formula for compensating the gray value of each pixel in the third infrared image is that,
wherein b i,j A gray compensation value, x, for the ith row and jth column pixels in the third infrared image 3 K is the average response rate of the infrared detector for the gray value of the third temperature uniform background,
for the ith row and jth column of images in the third infrared imageGray value of the element.
9. The scanning method for blind pixels according to claim 7, wherein: the step S24 is specifically that,
setting any gray compensation value selected from the gray compensation table as b i,j B is searched in the gray level compensation table by a Chinese character 'mi' shape searching method i,j A plurality of gray-scale compensation values around, and b i,j The gray compensation values around are b i-1,j-1 、b i-1,j 、b i-1,j+1 、b i,j-1 、b i,j+1 、b i+1,j-1 、b i+1,j And b i+1,j+1 The method comprises the steps of carrying out a first treatment on the surface of the Wherein b i,j For the gray compensation value of the ith row and jth column pixels in the third infrared image, i is more than 1 and less than m, j is more than 1 and less than n, and specifically, m and n are the total number of rows and the total number of columns of the pixels in the third infrared image respectively;
calculating b i,j A mean value of the surrounding plurality of gray scale compensation values; wherein, let the
B is i,j Average value of gray compensation values of the surroundings
Calculating b i,j And (3) with
Absolute value of difference between; wherein let beta i,j B is i,j And->
Absolute value of difference between them
If beta is i,j Beta is greater than beta, then the infrared detector is judged to be matched with b i,j The corresponding pixels are blind pixels; wherein, beta is a preset difference value.
10. The scanning method of random blind pixels according to claim 9, wherein: if i=1 or/and j=1, or if i=m or/and j=n, b in the gray-scale compensation table i,j The gray compensation value of the edge row or/and the gray compensation value of the edge column is duplicated to supplement b i,j Gray compensation values missing around.
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| CN111612773A (en) * | 2020-05-22 | 2020-09-01 | 北京富吉瑞光电科技有限公司 | Thermal infrared imager and real-time automatic blind pixel detection processing method |
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| KR20010075987A (en) * | 2000-01-21 | 2001-08-11 | 박태진 | Error compensation apparatus of focal plane array detector in focal plane array system |
| CN101980283A (en) * | 2010-10-21 | 2011-02-23 | 电子科技大学 | Method for dynamically compensating blind pixel |
| CN106768383A (en) * | 2017-01-21 | 2017-05-31 | 浙江红相科技股份有限公司 | A kind of automatic blind element detection of infrared focal plane array and compensation method |
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