CN116366990B - Algorithm system applied to night vision device - Google Patents
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- 230000004297 night vision Effects 0.000 title claims abstract description 27
- 238000003384 imaging method Methods 0.000 claims abstract description 31
- 238000006243 chemical reaction Methods 0.000 claims abstract description 22
- 238000001914 filtration Methods 0.000 claims description 17
- 230000001133 acceleration Effects 0.000 claims description 11
- 239000002131 composite material Substances 0.000 claims description 4
- 230000005686 electrostatic field Effects 0.000 claims description 4
- 238000004891 communication Methods 0.000 description 8
- 238000000034 method Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000002708 enhancing effect Effects 0.000 description 4
- 238000003672 processing method Methods 0.000 description 4
- 230000009466 transformation Effects 0.000 description 3
- 230000002093 peripheral effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 238000003331 infrared imaging Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000013139 quantization Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
- G06T2207/20032—Median filtering
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The invention relates to the technical field of night vision devices, in particular to an algorithm system applied to a night vision device. The system comprises an imaging module, a conversion module, a processing module and an output module; the imaging module is used for collecting image information; the conversion module is used for obtaining enhanced image information from the acquired image enhanced brightness, and caching the enhanced image information, wherein the enhanced image information is a digital image signal; the processing module is used for reading the enhanced image information, and performing image data processing on the enhanced image information by utilizing an enhancement algorithm to obtain processed output image information; and the output module is used for displaying the output image information. The invention firstly enhances the intensity during acquisition, then carries out enhancement algorithm processing on the enhanced image information, and further improves the definition of the output image information.
Description
Technical Field
The invention relates to the technical field of night vision devices, in particular to an algorithm system applied to a night vision device.
Background
The prior art generally adopts infrared imaging technology to solve the problem of insufficient imaging capability at night, and when the ambient light at night is too low, an infrared lamp is started for light filling, and an infrared mode is used for shooting. The imaging quality is low, the imaging distortion is low, and an algorithm system applied to the night vision device is provided for solving the technical problem.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides an algorithm system applied to a night vision device.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
in a first aspect, in one embodiment of the present invention, an algorithm system for a night vision device is provided, the system comprising: the device comprises an imaging module, a conversion module, a processing module and an output module;
the imaging module is used for collecting image information;
the conversion module is used for obtaining enhanced image information from the acquired image enhanced brightness, and caching the enhanced image information, wherein the enhanced image information is a digital image signal;
the processing module is used for reading the enhanced image information, and performing image data processing on the enhanced image information by utilizing an enhancement algorithm to obtain processed output image information;
and the output module is used for displaying the output image information.
As a further scheme of the invention, the imaging module uses the CMOS lens to collect image information.
As a further aspect of the present invention, the transformation module includes a first transformation subunit, an acceleration unit, an imaging unit, and a second transformation subunit;
the conversion subunit is used for converting the acquired image information into an electronic image;
the accelerating unit is used for carrying out energy acceleration on the electronic image through an electrostatic field or an electromagnetic composite field to obtain an accelerated electronic image;
the imaging unit is used for imaging the accelerated electronic image;
and the second conversion subunit is used for converting the imaged accelerated electronic image into enhanced image information of the digital image signal and caching the enhanced image information.
As a further aspect of the present invention, the converter unit is a photocathode.
As a further aspect of the present invention, the acceleration unit is an electron enhancement member.
As a further scheme of the invention, the second conversion subunit comprises a pixel array and an analog signal processing unit of the A/D converter, and the accelerated electronic image is processed by the pixel array and the analog signal processing unit of the A/D converter in sequence to obtain enhanced image information.
As a further scheme of the invention, the processing module comprises a denoising processing unit, a Gaussian filtering unit and a linear stretching unit;
the denoising processing unit is used for reading the enhanced image information and carrying out median filtering processing on the enhanced image information to obtain denoised enhanced image information;
the Gaussian filter unit is used for acquiring the denoised enhanced image information, and performing Gaussian filter processing on the denoised enhanced image information to acquire Gaussian filtered enhanced image information;
the linear stretching unit is used for obtaining the enhanced image information after Gaussian filtering and carrying out linear stretching processing on the enhanced image information to obtain output image information.
As a further scheme of the present invention, the denoising processing unit is configured to read the enhanced image information, and perform median filtering processing on the enhanced image information by using a median algorithm med ian, so as to obtain denoised enhanced image information.
As a further aspect of the present invention, the median algorithm med ian is calculated by the following formula:
g(x,y)＝median{f(x-i,y-i)} (i,j)∈S；
where (x, y) denotes a pixel point, f (x, y) denotes a pixel gradation value before processing, g (x, y) denotes a pixel gradation value after median filtering, and S denotes a window composed of horizontal i pixels and vertical j pixels.
The technical scheme provided by the invention has the following beneficial effects:
the algorithm system applied to the night vision device provided by the invention is used for collecting image information, enhancing the brightness of the collected image to obtain enhanced image information, caching the enhanced image information, reading the enhanced image information, carrying out image data processing on the enhanced image information by utilizing an enhancement algorithm to obtain processed output image information, displaying the output image information, enhancing the intensity when the image information is collected, and then carrying out enhancement algorithm processing on the enhanced image information, thereby further improving the definition of the output image information.
These and other aspects of the invention will be more readily apparent from the following description of the embodiments. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are necessary for the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention and that other embodiments may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an image processing method applied to a night vision device according to an embodiment of the present invention.
Fig. 2 is a flowchart of step S20 in an image processing method applied to a night vision device according to an embodiment of the present invention.
Fig. 3 is a flowchart of step S30 in an image processing method applied to a night vision device according to an embodiment of the present invention.
Fig. 4 is a block diagram of an algorithm system applied to a night vision device according to an embodiment of the present invention.
Fig. 5 is a block diagram of a conversion module in an algorithm system applied to a night vision device according to an embodiment of the present invention.
Fig. 6 is a block diagram of a processing module in an algorithm system applied to a night vision device according to an embodiment of the present invention.
In the figure: the device comprises an imaging module-100, a conversion module-200, a processing module-300, an output module-400, a first conversion subunit-201, an acceleration unit-202, an imaging unit-203, a second conversion subunit-204, a denoising processing unit 301, a Gaussian filter unit-302 and a linear stretching unit-303.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
In particular, embodiments of the present invention are further described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart of an image processing method applied to a night vision device according to an embodiment of the present invention, and as shown in fig. 1, the algorithm method applied to a night vision device includes steps S10 to S40.
S10, collecting image information.
S20, enhancing the brightness of the acquired image to obtain enhanced image information, and caching the enhanced image information, wherein the enhanced image information is a digital image signal;
in an embodiment of the present invention, the enhancing brightness of the acquired image to obtain enhanced image information, and buffering the enhanced image information, where the enhanced image information is a digital image signal, includes:
s201, converting the acquired image information into an electronic image;
s202, carrying out energy acceleration on an electron image through an electrostatic field or an electromagnetic composite field to obtain an accelerated electron image;
s203, imaging the accelerated electron image;
s204, the accelerated electronic image after imaging is converted into enhanced image information of a digital image signal, and the enhanced image information is cached.
S30, reading the enhanced image information, and performing image data processing on the enhanced image information by using an enhancement algorithm to obtain processed output image information.
In an embodiment of the present invention, reading the enhanced image information, performing image data processing on the enhanced image information by using an enhancement algorithm, and obtaining processed output image information, including:
s301, reading the enhanced image information, and performing median filtering processing on the enhanced image information to obtain denoised enhanced image information;
s302, acquiring denoised enhanced image information, and performing Gaussian filtering processing on the denoised enhanced image information to obtain Gaussian filtered enhanced image information;
s303, acquiring the enhanced image information after Gaussian filtering, and performing linear stretching processing on the enhanced image information to obtain output image information.
And S40, displaying the output image information.
The invention collects image information, enhances the brightness of the collected image to obtain enhanced image information, and caches the enhanced image information, wherein the enhanced image information is a digital image signal, the enhanced image information is read, the enhanced image information is subjected to image data processing by utilizing an enhancement algorithm to obtain processed output image information, the output image information is displayed, the intensity is enhanced firstly when the output image information is collected, and then the enhanced image information is subjected to enhancement algorithm processing, so that the definition of the output image information is further improved.
It should be understood that although described in a certain order, the steps are not necessarily performed sequentially in the order described. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, some steps of the present embodiment may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily sequential, but may be performed alternately or alternately with at least a part of the steps or stages in other steps or other steps.
In one embodiment, referring to fig. 3, an algorithm system applied to a night vision device is also provided in an embodiment of the present invention, the system including an imaging module 100, a conversion module 200, and a processing module 300, and an output module 400.
The imaging module 100 is configured to collect image information.
In an embodiment of the present invention, the imaging module 100 uses a CMOS lens to collect image information.
The conversion module 200 is configured to obtain enhanced image information from the acquired enhanced brightness of the image, and buffer the enhanced image information, where the enhanced image information is a digital image signal.
In an embodiment of the present invention, the conversion module 200 includes a first conversion subunit 201, an acceleration unit 202, an imaging unit 203, and a second conversion subunit 204.
The converter unit 201 is configured to convert the acquired image information into an electronic image.
The converter cell 201 is a photocathode.
The accelerating unit 202 is used for carrying out energy acceleration on the electron image through an electrostatic field or an electromagnetic composite field to obtain an accelerated electron image. The acceleration unit 202 may be an electron-enhanced component.
An imaging unit 203 for imaging the accelerated electron image. The imaging unit 203 is an imaging means.
The second converting subunit 204 is configured to convert the imaged accelerated electronic image into enhanced image information of the digital image signal, and cache the enhanced image information. The second converter subunit 204 includes a pixel array and an a/D converter analog signal processing unit, and the accelerated electronic image is sequentially processed by the pixel array and the a/D converter analog signal processing unit to obtain enhanced image information.
The processing module 300 is configured to read the enhanced image information, perform image data processing on the enhanced image information by using an enhancement algorithm, and obtain processed output image information.
In an embodiment of the present invention, the processing module 300 includes a denoising processing unit 301, a gaussian filtering unit 302, and a linear stretching unit 303.
The denoising processing unit 301 is configured to read the enhanced image information, and perform median filtering processing on the enhanced image information to obtain denoised enhanced image information.
The quality can be well ensured by the denoising process because of impulse noise which occurs during image transmission or a/D conversion in the video image processing process, quantization noise which is caused during image digital processing, and the like.
Further, the denoising processing unit 301 is configured to read the enhanced image information, and perform median filtering processing on the enhanced image information by using a median algorithm, to obtain denoised enhanced image information, where the median algorithm is calculated by the following formula:
g(x,y)＝median{f(x-i,y-i)} (i,j)∈S；
where (x, y) denotes a pixel point, f (x, y) denotes a pixel gradation value before processing, g (x, y) denotes a pixel gradation value after median filtering, and S denotes a window composed of horizontal i pixels and vertical j pixels. The denoising processing unit 301 keeps the gray value of each pixel point in a region approximate through a median algorithm, and the excessive bright or excessive dark noise points can be effectively removed through review, so that the denoising purpose is achieved.
The gaussian filter unit 302 is configured to obtain the denoised enhanced image information, and perform gaussian filter processing on the denoised enhanced image information to obtain the gaussian filtered enhanced image information. Thus, gaussian noise in the enhanced image information can be filtered.
The linear stretching unit 303 is configured to obtain the enhanced image information after gaussian filtering, and perform linear stretching processing on the enhanced image information to obtain output image information. The image is over-exposed or under-exposed, so that a large number of gray values are densely stacked in a certain range, and the direct result is that the certain range of the image is very unclear or the level details of the image cannot be distinguished, and stretching treatment is adopted to stretch the designated area, so that a clearer image effect can be obtained.
The output module 400 is configured to display the output image information.
The output module 400 may be a display.
The invention collects image information, enhances the brightness of the collected image to obtain enhanced image information, and caches the enhanced image information, wherein the enhanced image information is a digital image signal, the enhanced image information is read, the enhanced image information is subjected to image data processing by utilizing an enhancement algorithm to obtain processed output image information, the output image information is displayed, the intensity is enhanced firstly when the output image information is collected, and then the enhanced image information is subjected to enhancement algorithm processing, so that the definition of the output image information is further improved.
In one embodiment, a computer device is also provided in an embodiment of the present invention, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory communicate with each other via the communication bus.
A memory for storing a computer program;
and the processor is used for executing the algorithm method applied to the night vision device when executing the computer program stored in the memory, and the steps in the method embodiment are realized when the processor executes the instructions.
The communication bus mentioned by the above terminal may be a peripheral component interconnect standard (Peripheral Component Interconnect, abbreviated as PCI) bus or an extended industry standard architecture (Extended Industry StandardArchitecture, abbreviated as EISA) bus, etc. The communication bus may be classified as an address bus, a data bus, a control bus, or the like. For ease of illustration, the figures are shown with only one bold line, but not with only one bus or one type of bus.
The communication interface is used for communication between the terminal and other devices.
The memory may include random access memory (Random Access Memory, RAM) or non-volatile memory (non-volatile memory), such as at least one disk memory. Optionally, the memory may also be at least one memory device located remotely from the aforementioned processor.
The processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU for short), a network processor (Network Processor, NP for short), etc.; but also digital signal processors (Digital Signal Processing, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), field-programmable gate arrays (Field-Programmable Gate Array, FPGA for short) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
The computer device includes a user device and a network device. Wherein the user equipment includes, but is not limited to, a computer, a smart phone, a PDA, etc.; the network device includes, but is not limited to, a single network server, a server group of multiple network servers, or a Cloud based Cloud Computing (Cloud Computing) consisting of a large number of computers or network servers, where Cloud Computing is one of distributed Computing, and is a super virtual computer consisting of a group of loosely coupled computer sets. The computer device can be used for realizing the invention by running alone, and can also be accessed into a network and realized by interaction with other computer devices in the network. Wherein the network where the computer device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a VPN network, and the like.
It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
In one embodiment of the invention there is also provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described embodiment methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the above described embodiment methods. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory.
Claims (7)
1. An algorithm system for a night vision device, the system comprising: the device comprises an imaging module, a conversion module, a processing module and an output module;
the imaging module is used for collecting image information;
the conversion module is used for obtaining enhanced image information from the acquired image enhanced brightness, and caching the enhanced image information, wherein the enhanced image information is a digital image signal;
the processing module is used for reading the enhanced image information, and performing image data processing on the enhanced image information by utilizing an enhancement algorithm to obtain processed output image information;
the processing module comprises a denoising processing unit, a Gaussian filter unit and a linear stretching unit;
the denoising processing unit is used for reading the enhanced image information and carrying out median filtering processing on the enhanced image information to obtain denoised enhanced image information;
the Gaussian filter unit is used for acquiring the denoised enhanced image information, and performing Gaussian filter processing on the denoised enhanced image information to acquire Gaussian filtered enhanced image information;
the linear stretching unit is used for obtaining the enhanced image information after Gaussian filtering and performing linear stretching treatment on the enhanced image information to obtain output image information;
the denoising processing unit is used for reading the enhanced image information, and performing median filtering processing on the enhanced image information by utilizing a median algorithm to obtain denoised enhanced image information;
the median algorithm mean is calculated by the following formula:
g(x,y)＝median{f(x-i,y-i)}(i,j)∈S；
wherein (x, y) represents a pixel point, f (x, y) represents a pixel gray value before processing, g (x, y) represents a pixel gray value after median filtering, and S represents a window consisting of horizontal i pixels and vertical j pixels;
and the output module is used for displaying the output image information.
2. The algorithm for night vision device of claim 1, wherein the imaging module uses a CMOS lens to collect image information.
3. The algorithm for a night vision device of claim 1, wherein the translation module comprises a first translation subunit, an acceleration unit, an imaging unit, and a second translation subunit;
the conversion subunit is used for converting the acquired image information into an electronic image;
the accelerating unit is used for carrying out energy acceleration on the electronic image through an electrostatic field or an electromagnetic composite field to obtain an accelerated electronic image;
the imaging unit is used for imaging the accelerated electronic image;
and the second conversion subunit is used for converting the imaged accelerated electronic image into enhanced image information of the digital image signal and caching the enhanced image information.
4. An algorithm for a night vision device as claimed in claim 3, wherein the converter subunit is a photocathode.
5. The algorithm for a night vision device of claim 4, wherein the acceleration unit is an electronic enhancement unit.
6. The algorithm for a night vision device of claim 5, wherein the imaging unit is an imaging component.
7. The algorithm system for the night vision device according to claim 3, wherein the second conversion subunit comprises a pixel array and an analog signal processing unit of the a/D converter, and the accelerated electronic image is processed by the pixel array and the analog signal processing unit of the a/D converter in sequence to obtain the enhanced image information.
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