CN111654648A - Image processing method for uncooled infrared focal plane detector - Google Patents
Image processing method for uncooled infrared focal plane detector Download PDFInfo
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- CN111654648A CN111654648A CN202010478834.9A CN202010478834A CN111654648A CN 111654648 A CN111654648 A CN 111654648A CN 202010478834 A CN202010478834 A CN 202010478834A CN 111654648 A CN111654648 A CN 111654648A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/30—Transforming light or analogous information into electric information
- H04N5/33—Transforming infrared radiation
Abstract
The invention discloses an image processing method of an uncooled infrared focal plane detector, which belongs to the technical field of image processing and comprises a detection module, a signal optimization module and a signal processing module, wherein the image processing method of the uncooled infrared focal plane detector comprises image acquisition, signal filtering and filtering denoising; the invention compares the maximum value, the intermediate value and the minimum value of each row by comparing the maximum value, the intermediate value and the minimum value of each transverse row, each longitudinal row and each diagonal row, respectively compares the maximum value, the intermediate value and the minimum value of each row, compares every two adjacent groups until the full comparison is completed, combines nine pixel points of the transverse row and the vertical row into a block, respectively compares every block, compares the maximum value, the intermediate value and the minimum value of every block, improves the contrast, improves the image processing, and improves the image processing quality.
Description
Technical Field
The invention belongs to the technical field of image processing, and particularly relates to an image processing method of an uncooled infrared focal plane detector.
Background
The infrared imaging electronic component is an important component of a thermal imaging system, and has the function of fully playing the performance of an infrared focal plane detector and converting an electric signal output by the infrared focal plane detector into a video signal or a signal in a format specified by other systems after processing. The infrared imaging electronic component comprises two parts, namely a hardware system and an image processing algorithm, and because the current hardware system platform is very complete, the infrared image processing technology becomes an important research content of the imaging electronic component. The infrared image processing technology needs to be developed for specific characteristics of infrared images.
The prior art has the following problems: the existing uncooled infrared focal plane detector has the defects of incomplete image processing, low contrast, low image processing quality and inconvenient use during image processing.
Disclosure of Invention
To solve the problems set forth in the background art described above. The invention provides an image processing method of an uncooled infrared focal plane detector, which has the characteristics of simplicity, high contrast and good image processing quality.
In order to achieve the purpose, the invention provides the following technical scheme: the image processing method of the uncooled infrared focal plane detector comprises an image acquisition module, a signal filtering module and a filtering and denoising module, wherein the uncooled infrared focal plane detector comprises a detection module, a signal optimization module and a signal processing module;
the detection module is used for collecting images and comprises an uncooled infrared focal plane detector, a data converter and a CCD image sensor, and the image collection comprises the following steps:
s101: acquiring an infrared image by using an uncooled infrared focal plane detector;
s102: the data converter converts the acquired infrared image into a digital signal;
s103: the CCD image sensor collects actual image information and converts the actual image information into a digital signal;
s104: transmitting the digital signal of the acquired image to a signal optimization module;
the signal optimization module performs signal processing, the signal optimization module comprises a filter and a signal amplifier, and the signal filtering comprises the following steps:
s202: the signal amplifier amplifies the signal;
s201: the filter filters useless frequency bands in the amplified signals;
the signal processing module carries out filtering and denoising processing, the signal processing module comprises a permanent storage module, a temporary cache module, a backup module, an AI processing module, a communication module and a display module, and the filtering and denoising comprises the following steps:
s301: sequentially sequencing pixel points of the image from left to right and from top to bottom;
s3021: comparing the maximum value, the intermediate value and the minimum value of each horizontal line;
s3022: comparing the maximum value, the intermediate value and the minimum value of each longitudinal row;
s3023: comparing the maximum value, the middle value and the minimum value of each diagonal line;
s303: respectively comparing the maximum value, the middle value and the minimum value of each row, and taking three adjacent groups for comparison each time until the full comparison is completed;
s304: combining nine pixel points in three rows, namely horizontal and vertical, into a block, respectively comparing each block, and comparing the maximum value, the middle value and the minimum value of each block;
s304: and (4) calculating the minimum value, the intermediate value of the intermediate value and the maximum value of the minimum value in the maximum values obtained by comparison, and then calculating the guiding intermediate value to obtain the required filtering result.
Compared with the prior art, the invention has the beneficial effects that:
the invention compares the maximum value, the intermediate value and the minimum value of each transverse row, each longitudinal row and each diagonal row, respectively compares the maximum value, the intermediate value and the minimum value of each row, each time takes three adjacent groups for comparison until the complete comparison is completed, combines nine pixel points in total of the transverse rows and the vertical rows into one block, respectively compares each block, compares the maximum value, the intermediate value and the minimum value of each block, improves the contrast ratio, improves the image processing perfection and improves the image processing quality.
Drawings
FIG. 1 is a schematic structural view of the present invention;
FIG. 2 is a flow chart of image acquisition according to the present invention;
FIG. 3 is a flow chart of signal filtering according to the present invention;
FIG. 4 is a flow chart of filtering and denoising according to the present invention;
in the figure: 1. a detection module; 11. uncooled infrared focal plane detector; 12. a data converter; 13. a CCD image sensor; 2. a signal optimization module; 21. a filter; 22. a signal amplifier; 3. a signal processing module; 31. a permanent storage module; 32. a temporary cache module; 33. a backup module; 34. an AI processing module; 35. a communication module; 36. and a display module.
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 embodiments of the present invention, and not all of the 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.
Referring to fig. 1-4, the present invention provides the following technical solutions: an image processing method of an uncooled infrared focal plane detector comprises a detection module 1, a signal optimization module 2 and a signal processing module 3, wherein the image processing method of the uncooled infrared focal plane detector comprises image acquisition, signal filtering and filtering denoising;
the detection module 1 collects images, the detection module 1 comprises an uncooled infrared focal plane detector 11, a data converter 12 and a CCD image sensor 13, and the image collection comprises the following steps:
s101: the uncooled infrared focal plane detector 11 collects an infrared image;
s102: the data converter 12 converts the acquired infrared image into a digital signal;
s103: the CCD image sensor 13 collects actual image information and converts the actual image information into a digital signal;
s104: transmitting the digital signal of the collected image to a signal optimization module 2;
the signal optimization module 2 performs signal processing, the signal optimization module 2 includes a filter 21 and a signal amplifier 22, and the signal filtering includes the following steps:
s202: the signal amplifier 22 amplifies the signal;
s201: the filter 21 filters the useless frequency band in the amplified signal;
the signal processing module 3 performs filtering and denoising processing, the signal processing module 3 includes a permanent storage module 31, a temporary buffer module 32, a backup module 33, an AI processing module 34, a communication module 35 and a display module 36, and the filtering and denoising includes the following steps:
s301: sequentially sequencing pixel points of the image from left to right and from top to bottom;
s3021: comparing the maximum value, the intermediate value and the minimum value of each horizontal line;
s3022: comparing the maximum value, the intermediate value and the minimum value of each longitudinal row;
s3023: comparing the maximum value, the middle value and the minimum value of each diagonal line;
s303: respectively comparing the maximum value, the middle value and the minimum value of each row, and taking three adjacent groups for comparison each time until the full comparison is completed;
s304: combining nine pixel points in three rows, namely horizontal and vertical, into a block, respectively comparing each block, and comparing the maximum value, the middle value and the minimum value of each block;
s304: and (4) calculating the minimum value, the intermediate value of the intermediate value and the maximum value of the minimum value in the maximum values obtained by comparison, and then calculating the guiding intermediate value to obtain the required filtering result.
The working principle and the using process of the invention are as follows: the invention collects the infrared image by the uncooled infrared focal plane detector 11; the data converter 12 converts the acquired infrared image into a digital signal; the CCD image sensor 13 collects actual image information and converts the actual image information into a digital signal; transmitting the digital signal of the collected image to a signal optimization module 2; the signal amplifier 22 amplifies the signal; the filter 21 filters the useless frequency band in the amplified signal; the signal processing module 3 carries out filtering and denoising processing, and sequentially sorts pixel points of the image from left to right and from top to bottom; comparing the maximum value, the intermediate value and the minimum value of each horizontal line; comparing the maximum value, the intermediate value and the minimum value of each longitudinal row; comparing the maximum value, the middle value and the minimum value of each diagonal line; respectively comparing the maximum value, the middle value and the minimum value of each row, and taking three adjacent groups for comparison each time until the full comparison is completed; combining nine pixel points in three rows, namely horizontal and vertical, into a block, respectively comparing each block, and comparing the maximum value, the middle value and the minimum value of each block; and (4) calculating the minimum value, the intermediate value of the intermediate value and the maximum value of the minimum value in the maximum values obtained by comparison, and then calculating the guiding intermediate value to obtain the required filtering result.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (1)
1. The image processing method of the uncooled infrared focal plane detector comprises a detection module (1), a signal optimization module (2) and a signal processing module (3), and is characterized in that: the image processing method of the uncooled infrared focal plane detector comprises image acquisition, signal filtering and filtering denoising;
the detection module (1) collects images, the detection module (1) comprises an uncooled infrared focal plane detector (11), a data converter (12) and a CCD image sensor (13), and the collection of the images comprises the following steps:
s101: the uncooled infrared focal plane detector (11) collects infrared images;
s102: the data converter (12) converts the collected infrared image into a digital signal;
s103: the CCD image sensor (13) collects actual image information and converts the actual image information into a digital signal;
s104: transmitting the digital signals of the acquired images to a signal optimization module (2);
the signal optimization module (2) performs signal processing, the signal optimization module (2) comprises a filter (21) and a signal amplifier (22), and the signal filtering comprises the following steps:
s202: the signal amplifier (22) amplifies the signal;
s201: a filter (21) filters an unnecessary frequency band in the amplified signal;
the signal processing module (3) is used for filtering and denoising, the signal processing module (3) comprises a permanent storage module (31), a temporary buffer module (32), a backup module (33), an AI processing module (34), a communication module (35) and a display module (36), and the filtering and denoising comprises the following steps:
s301: sequentially sequencing pixel points of the image from left to right and from top to bottom;
s3021: comparing the maximum value, the intermediate value and the minimum value of each horizontal line;
s3022: comparing the maximum value, the intermediate value and the minimum value of each longitudinal row;
s3023: comparing the maximum value, the middle value and the minimum value of each diagonal line;
s303: respectively comparing the maximum value, the middle value and the minimum value of each row, and taking three adjacent groups for comparison each time until the full comparison is completed;
s304: combining nine pixel points in three rows, namely horizontal and vertical, into a block, respectively comparing each block, and comparing the maximum value, the middle value and the minimum value of each block;
s304: and (4) calculating the minimum value, the intermediate value of the intermediate value and the maximum value of the minimum value in the maximum values obtained by comparison, and then calculating the guiding intermediate value to obtain the required filtering result.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020026998A (en) * | 2000-10-04 | 2002-04-13 | 김석준 | security and reference device for an infrared rays |
| JP2006109120A (en) * | 2004-10-06 | 2006-04-20 | Funai Electric Co Ltd | Infrared imaging device |
| CN104217408A (en) * | 2014-09-30 | 2014-12-17 | 成都市晶林科技有限公司 | Method for filtering and denoising images of uncooled infrared focal plane detector |
| CN104240206A (en) * | 2014-09-30 | 2014-12-24 | 成都市晶林科技有限公司 | Uncooled infrared focal plane detector image processing system and method |
| CN204705413U (en) * | 2015-06-29 | 2015-10-14 | 湖北三江航天万峰科技发展有限公司 | A kind of infreared imaging device of miniaturization |
| CN106488147A (en) * | 2016-12-13 | 2017-03-08 | 合肥英威晟光电科技有限公司 | A kind of high-quality non-refrigerating infrared focal plane output signal gathers converting system |
-
2020
- 2020-05-29 CN CN202010478834.9A patent/CN111654648A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020026998A (en) * | 2000-10-04 | 2002-04-13 | 김석준 | security and reference device for an infrared rays |
| JP2006109120A (en) * | 2004-10-06 | 2006-04-20 | Funai Electric Co Ltd | Infrared imaging device |
| CN104217408A (en) * | 2014-09-30 | 2014-12-17 | 成都市晶林科技有限公司 | Method for filtering and denoising images of uncooled infrared focal plane detector |
| CN104240206A (en) * | 2014-09-30 | 2014-12-24 | 成都市晶林科技有限公司 | Uncooled infrared focal plane detector image processing system and method |
| CN204705413U (en) * | 2015-06-29 | 2015-10-14 | 湖北三江航天万峰科技发展有限公司 | A kind of infreared imaging device of miniaturization |
| CN106488147A (en) * | 2016-12-13 | 2017-03-08 | 合肥英威晟光电科技有限公司 | A kind of high-quality non-refrigerating infrared focal plane output signal gathers converting system |
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