CN111008944A - Method and system for searching unstable pixels of infrared focal plane detector - Google Patents
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Abstract
An infrared focal plane detector unstable pixel searching method and a system thereof are provided, the method comprises: carrying out image correction and national standard blind pixel replacement in the full temperature range of the infrared focal plane detector; determining background temperatures of the infrared focal plane detector, and acquiring original image data imaged by the infrared focal plane detector which is started up for n times at each background temperature to obtain multiple groups of original image data; taking a pixel point I (I, j) of a certain frame of image in original image data as a center, and selecting M pixel points around the pixel point I (I, j); calculating pixel value difference values of the pixel point I and each of M pixel points around the pixel point I to obtain M pixel value difference values, and judging the number N of the pixel value difference values larger than a preset threshold value AD _ thd; if N is greater than
Judging that the pixel point I is an unstable pixel; by sliding windowAnd obtaining an unstable pixel list in each group of original image data through all pixel points of each frame of image area array in each group of original image data.
Description
Technical Field
The invention relates to the field of blind pixel detection, in particular to a method and a system for searching unstable pixels of an infrared focal plane detector.
Background
The unstable pixel is a key parameter for evaluating the quality of the infrared focal plane detection device, and is the basis for improving the imaging quality by adopting a substitution or compensation technology. The performance indexes of the infrared focal plane array detector in GB/T17444-2013 about blind pixels only comprise two types of blind pixels, namely dead pixels and overheated pixels. Unstable pixels with low-frequency noise and response rate changing along with the working state cannot be identified. The blind pixel level in the actual use process of the device cannot be fully reflected, so that the imaging quality is influenced by unstable pixels. Even when the detector is used in the whole machine, tracking and searching interference or misleading can occur.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a system for searching unstable pixels of an infrared focal plane detector, which make up for the incomplete face of national standard about blind pixel identification, judge unstable pixels which can appear in an actual using state in advance, and further improve the stability of image quality in the using process of the detector, wherein the specific scheme of the method is as follows:
as a first aspect of the present invention, a method for searching for an unstable pixel of an infrared focal plane detector is provided, where the method includes:
step 1, correcting images in a full-temperature range of an infrared focal plane detector and replacing national standard blind pixels;
step 2, determining background temperatures of the infrared focal plane detector, and acquiring original image data imaged by the infrared focal plane detector which is started up for n times at each background temperature to obtain multiple groups of original image data;
and 3, judging unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and combining the unstable pixel lists in each group of original image data to obtain the total unstable pixels of the infrared focal plane detector under the background of a temperature interval.
Further, in step 3, performing unstable pixel determination on each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, specifically:
step 3.1, taking a pixel point I (I, j) of a certain frame of image in the original image data as a center, and selecting M pixel points around the pixel point I, wherein I and j represent the coordinate position of the pixel point I in the frame of image;
step 3.2, calculating pixel value difference values of the pixel point I and each of M pixel points around the pixel point I to obtain M pixel value difference values, and judging the number N of the pixel value difference values larger than a preset threshold AD _ thd;
step 3.3, if N is greater than
Judging that the pixel point I is an unstable pixel;
and 3.4, traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
Further, in step 3.1, M is 24, and 24 surrounding pixels are selected to form a 5 × 5 pixel array with pixel I as the center.
Further, the method further comprises: in step 3.3, after the pixel point I is judged to be an unstable pixel, the pixel value of the pixel point I is replaced by the pixel value mean value of M pixel points around the pixel point I, so that the pixel point I becomes a stable pixel.
Further, in step 2, acquiring original image data imaged by the infrared focal plane detector which is started up for n times, and acquiring multiple groups of original image data specifically comprises:
after each starting-up work, acquiring original image data at time points of 1h, 2h, 1.. and mh after the starting-up work, and acquiring K frames of original image data at each time point so as to obtain a plurality of groups of original image data.
Further, m is 4, k is 6000.
As a second aspect of the present invention, an unstable pixel searching system for an infrared focal plane detector is provided, where the system includes a national standard blind pixel replacing unit, an original image data obtaining unit, and an unstable pixel searching unit;
the national standard blind pixel replacement unit is used for carrying out image correction and national standard blind pixel replacement in the full-temperature interval of the infrared focal plane detector;
the original image data acquisition unit is used for determining the background temperature of the infrared focal plane detector, and acquiring original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
the unstable pixel searching unit is used for judging unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and the unstable pixel lists in each group of original image data are combined to obtain total unstable pixels of the infrared focal plane detector under the background of a temperature interval.
Further, the unstable pixel searching judges the unstable pixels of each group of acquired original image data frame by frame, and the list of the unstable pixels in each group of original image data is obtained by:
taking a pixel point I (I, j) of a certain frame of image in original image data as a center, and selecting M pixel points around the pixel point I, wherein I and j represent the coordinate position of the pixel point I in the frame of image;
calculating pixel value difference values of the pixel point I and each of M pixel points around the pixel point I to obtain M pixel value difference values, and judging the number N of the pixel value difference values larger than a preset threshold value AD _ thd;
if N is greater than
Judging that the pixel point I is an unstable pixel;
and traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
The invention has the following beneficial effects:
the invention makes up the incompleteness of the national standard about blind pixel identification, judges the unstable pixel which can appear in the actual using state in advance, further improves the stability of the image quality in the using process of the detector, and can search the unstable pixel in the full-temperature working interval to obtain the blind pixel list in the full-temperature working interval.
Drawings
Fig. 1 is a schematic flow chart of a method for searching for an unstable pixel of an infrared focal plane detector according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, as a first aspect of the present invention, there is provided a method for searching unstable pixels of an infrared focal plane detector, where the method includes:
step 1, correcting images in a full-temperature range of an infrared focal plane detector and replacing national standard blind pixels;
step 2, determining background temperatures of the infrared focal plane detector, and acquiring original image data imaged by the infrared focal plane detector which is started up for n times at each background temperature to obtain multiple groups of original image data;
and 3, judging unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and combining the unstable pixel lists in each group of original image data to obtain the total unstable pixels of the infrared focal plane detector under the background of a temperature interval.
The method specifically comprises the following steps of judging unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data:
step 3.1, taking a pixel point I (I, j) of a certain frame of image in the original image data as a center, and selecting M pixel points around the pixel point I, wherein I and j represent the coordinate position of the pixel point I in the frame of image;
step 3.2, calculating pixel value difference values of the pixel point I and each of M pixel points around the pixel point I to obtain M pixel value difference values, and judging the number N of the pixel value difference values larger than a preset threshold AD _ thd;
step 3.3, if N is greater than
Judging that the pixel point I is an unstable pixel;
and 3.4, traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
Wherein, M is preferably 24, that is, taking the pixel point I as the center, the surrounding 24 pixel points are selected to form a 5 × 5 pixel point array.
In step 2, the temperature difference between adjacent background temperatures is preferably 5 °.
The national standard blind pixels in the step 1, namely the blind pixel types in the standard GB/T17444-2013, comprise two types of blind pixels, namely dead pixels and overheated pixels, the blind pixels of the image data are found out firstly by the conventional method, and then unstable pixels which can appear in an actual use state are judged, so that the stability of the image quality of the detector in the use process is improved, and meanwhile, the unstable pixels can be found in a full-temperature working interval to obtain a blind pixel list in the full-temperature working interval.
Preferably, the method further comprises: in step 3.3, after the pixel point I is judged to be an unstable pixel, the pixel value of the pixel point I is replaced by the pixel value mean value of M pixel points around the pixel point I, so that the pixel point I becomes a stable pixel.
Preferably, in step 2, acquiring raw image data imaged by the infrared focal plane detector which is started up for n times, and obtaining multiple sets of raw image data specifically includes:
after each starting-up work, acquiring original image data at time points of 1h, 2h, 1.. and mh after the starting-up work, and acquiring K frames of original image data at each time point so as to obtain a plurality of groups of original image data.
Wherein m is preferably 4, k is preferably 6000, that is, the original image data is acquired at time points corresponding to 1h, 2h, 3h and 4h after each boot, and 6000 frames of original image data are acquired at each time point.
As a second aspect of the present invention, an unstable pixel searching system for an infrared focal plane detector is provided, where the system includes a national standard blind pixel replacing unit, an original image data obtaining unit, and an unstable pixel searching unit;
the national standard blind pixel replacement unit is used for carrying out image correction and national standard blind pixel replacement in the full-temperature interval of the infrared focal plane detector;
the original image data acquisition unit is used for determining the background temperature of the infrared focal plane detector, and acquiring original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
the unstable pixel searching unit is used for judging unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and the unstable pixel lists in each group of original image data are combined to obtain total unstable pixels of the infrared focal plane detector under the background of a temperature interval.
Further, the unstable pixel searching judges the unstable pixels of each group of acquired original image data frame by frame, and the list of the unstable pixels in each group of original image data is obtained by:
taking a pixel point I (I, j) of a certain frame of image in original image data as a center, and selecting M pixel points around the pixel point I, wherein I and j represent the coordinate position of the pixel point I in the frame of image;
calculating pixel value difference values of the pixel point I and each of M pixel points around the pixel point I to obtain M pixel value difference values, and judging the number N of the pixel value difference values larger than a preset threshold value AD _ thd;
if N is greater than
Judging that the pixel point I is an unstable pixel;
and traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. An unstable pixel searching method for an infrared focal plane detector is characterized by comprising the following steps:
step 1, correcting images in a full-temperature range of an infrared focal plane detector and replacing national standard blind pixels;
step 2, determining background temperatures of the infrared focal plane detector, and acquiring original image data imaged by the infrared focal plane detector which is started up for n times at each background temperature to obtain multiple groups of original image data;
and 3, judging unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and combining the unstable pixel lists in each group of original image data to obtain the total unstable pixels of the infrared focal plane detector under the background of a temperature interval.
2. The method for finding unstable pixels of an infrared focal plane detector according to claim 1, wherein in step 3, unstable pixels of each group of acquired original image data are determined frame by frame, and the list of unstable pixels in each group of original image data is obtained by:
step 3.1, taking a pixel point I (I, j) of a certain frame of image in the original image data as a center, and selecting M pixel points around the pixel point I, wherein I and j represent the coordinate position of the pixel point I in the frame of image;
step 3.2, calculating pixel value difference values of the pixel point I and each of M pixel points around the pixel point I to obtain M pixel value difference values, and judging the number N of the pixel value difference values larger than a preset threshold AD _ thd;
step 3.3, if N is greater than
Judging that the pixel point I is an unstable pixel;
and 3.4, traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
3. The method for finding an unstable pixel of an infrared focal plane detector according to claim 2, wherein in step 3.1, M is 24, and 24 surrounding pixels are selected to form a 5 × 5 pixel array with pixel I as a center.
4. The method for searching unstable pixels of an infrared focal plane detector according to claim 2, further comprising: in step 3.3, after the pixel point I is judged to be an unstable pixel, the pixel value of the pixel point I is replaced by the pixel value mean value of M pixel points around the pixel point I, so that the pixel point I becomes a stable pixel.
5. The method for finding unstable pixels of an infrared focal plane detector according to claim 1, wherein in step 2, the original image data of the infrared focal plane detector imaged by the infrared focal plane detector which is started up for n times is collected, and the obtaining of multiple sets of original image data specifically comprises:
after each starting-up work, acquiring original image data at time points of 1h, 2h, 1.. and mh after the starting-up work, and acquiring K frames of original image data at each time point so as to obtain a plurality of groups of original image data.
6. The method for searching for unstable pixels of an infrared focal plane detector according to claim 5, wherein m is 4 and k is 6000.
7. An unstable pixel searching system of an infrared focal plane detector is characterized by comprising a national standard blind pixel replacing unit, an original image data acquiring unit and an unstable pixel searching unit;
the national standard blind pixel replacement unit is used for carrying out image correction and national standard blind pixel replacement in the full-temperature interval of the infrared focal plane detector;
the original image data acquisition unit is used for determining the background temperature of the infrared focal plane detector, and acquiring original image data imaged by the infrared focal plane detector which is started up for n times under each background temperature to obtain a plurality of groups of original image data;
the unstable pixel searching unit is used for judging unstable pixels of each group of acquired original image data frame by frame to obtain an unstable pixel list in each group of original image data, and the unstable pixel lists in each group of original image data are combined to obtain total unstable pixels of the infrared focal plane detector under the background of a temperature interval.
8. The system for finding unstable pixels of an infrared focal plane detector according to claim 7, wherein the unstable pixel finding is used for judging unstable pixels of each group of acquired original image data frame by frame, and the list of unstable pixels in each group of acquired original image data is specifically:
taking a pixel point I (I, j) of a certain frame of image in original image data as a center, and selecting M pixel points around the pixel point I, wherein I and j represent the coordinate position of the pixel point I in the frame of image;
calculating pixel value difference values of the pixel point I and each of M pixel points around the pixel point I to obtain M pixel value difference values, and judging the number N of the pixel value difference values larger than a preset threshold value AD _ thd;
if N is greater than
Judging that the pixel point I is an unstable pixel;
and traversing all pixel points of each frame of image area array in each group of original image data in a sliding window mode to obtain an unstable pixel list in each group of original image data.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113160158A (en) * | 2021-04-13 | 2021-07-23 | 浙江大华技术股份有限公司 | Unstable pixel determination method, device, equipment and medium |
| CN114877998A (en) * | 2022-02-15 | 2022-08-09 | 东莞市鑫泰仪器仪表有限公司 | Infrared image blind pixel processing method and thermal infrared imager |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103268594A (en) * | 2013-05-17 | 2013-08-28 | 山东神戎电子股份有限公司 | Blind pixel replacing method of thermal infrared imager system |
| CN103335721A (en) * | 2013-06-21 | 2013-10-02 | 中国科学院西安光学精密机械研究所 | Infrared focal plane array dynamic blind pixel detection method based on scene matching |
| US20150319387A1 (en) * | 2014-04-30 | 2015-11-05 | Ulis | Method of infrared image processing for non-uniformity correction |
| CN105928622A (en) * | 2016-04-26 | 2016-09-07 | 成都市晶林科技有限公司 | Infrared focal plane detector blind pixel correction method |
| CN106097276A (en) * | 2016-06-22 | 2016-11-09 | 成都市晶林科技有限公司 | Infrared image blind element antidote |
| CN106327474A (en) * | 2016-08-25 | 2017-01-11 | 上海航天控制技术研究所 | Automatic online blind pixel detection method |
| CN108805853A (en) * | 2017-04-28 | 2018-11-13 | 武汉多谱多勒科技有限公司 | A kind of infrared image blind pixel detection method |
| CN109799068A (en) * | 2018-09-28 | 2019-05-24 | 浙江兆晟科技股份有限公司 | A kind of unstable blind pixel detection method and system |
| CN110084795A (en) * | 2019-04-22 | 2019-08-02 | 武汉高德智感科技有限公司 | A kind of infrared image blind pixel detection method and system based on background |
-
2019
- 2019-12-25 CN CN201911352927.0A patent/CN111008944B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103268594A (en) * | 2013-05-17 | 2013-08-28 | 山东神戎电子股份有限公司 | Blind pixel replacing method of thermal infrared imager system |
| CN103335721A (en) * | 2013-06-21 | 2013-10-02 | 中国科学院西安光学精密机械研究所 | Infrared focal plane array dynamic blind pixel detection method based on scene matching |
| US20150319387A1 (en) * | 2014-04-30 | 2015-11-05 | Ulis | Method of infrared image processing for non-uniformity correction |
| CN105928622A (en) * | 2016-04-26 | 2016-09-07 | 成都市晶林科技有限公司 | Infrared focal plane detector blind pixel correction method |
| CN106097276A (en) * | 2016-06-22 | 2016-11-09 | 成都市晶林科技有限公司 | Infrared image blind element antidote |
| CN106327474A (en) * | 2016-08-25 | 2017-01-11 | 上海航天控制技术研究所 | Automatic online blind pixel detection method |
| CN108805853A (en) * | 2017-04-28 | 2018-11-13 | 武汉多谱多勒科技有限公司 | A kind of infrared image blind pixel detection method |
| CN109799068A (en) * | 2018-09-28 | 2019-05-24 | 浙江兆晟科技股份有限公司 | A kind of unstable blind pixel detection method and system |
| CN110084795A (en) * | 2019-04-22 | 2019-08-02 | 武汉高德智感科技有限公司 | A kind of infrared image blind pixel detection method and system based on background |
Non-Patent Citations (4)
| Title |
|---|
| WENXIU WANG ET AL.: "A new blind-pixel detection method for 384×288 long-wave infrared focal plane arrays images", 《9TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES:OPTOELECTRONIC MATERIALS AND DEVICES FOR SENSING AND IMAGING》 * |
| 孙羽: "热红外成像光谱仪定标技术研究", 《中国优秀硕士学位论文全文数据库》 * |
| 陈成: "非制冷红外成像系统设计与成像质量评价 ——信号处理软硬件设计、调试与分析", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 黄英东 等: "一种新的红外焦平面阵列盲元检测与补偿方法", 《弹箭与制导学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113160158A (en) * | 2021-04-13 | 2021-07-23 | 浙江大华技术股份有限公司 | Unstable pixel determination method, device, equipment and medium |
| CN114877998A (en) * | 2022-02-15 | 2022-08-09 | 东莞市鑫泰仪器仪表有限公司 | Infrared image blind pixel processing method and thermal infrared imager |
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