CN117896625A - Picture imaging method and device based on low-altitude high-resolution analysis - Google Patents
Picture imaging method and device based on low-altitude high-resolution analysis Download PDFInfo
- Publication number
- CN117896625A CN117896625A CN202410059357.0A CN202410059357A CN117896625A CN 117896625 A CN117896625 A CN 117896625A CN 202410059357 A CN202410059357 A CN 202410059357A CN 117896625 A CN117896625 A CN 117896625A
- Authority
- CN
- China
- Prior art keywords
- image data
- original image
- resolution
- comparison result
- optimized
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000003384 imaging method Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000005457 optimization Methods 0.000 claims abstract description 9
- 230000006872 improvement Effects 0.000 claims description 8
- 230000010354 integration Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 27
- 238000004891 communication Methods 0.000 description 13
- 230000006870 function Effects 0.000 description 6
- 239000012535 impurity Substances 0.000 description 5
- 230000008878 coupling Effects 0.000 description 4
- 238000010168 coupling process Methods 0.000 description 4
- 238000005859 coupling reaction Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
Abstract
The invention discloses a picture imaging method and device based on low-altitude high-resolution analysis. Wherein the method comprises the following steps: acquiring original image data and original image parameters; comparing the original image parameters with a preset resolution threshold to obtain a comparison result; optimizing the original image data according to the comparison result to obtain optimized image data; and marking operation is carried out according to the optimized image data and the original image data, so as to obtain imaging result data. The invention solves the technical problems that in the prior art, the resolution and the processing of the high-resolution dynamic image data are often carried out according to the collected original image data, the image is split and the image is removed, the processed image is output according to the original output way and is used as the final reference image data, the resolution optimization processing can not be carried out on the image data shot by the shooting system in the low-altitude movement, and the precision and the quality of the low-altitude image data are reduced.
Description
Technical Field
The invention relates to the field of picture processing and imaging, in particular to a picture imaging method and device based on low-altitude high-resolution analysis.
Background
Along with the continuous development of intelligent science and technology, intelligent equipment is increasingly used in life, work and study of people, and the quality of life of people is improved and the learning and working efficiency of people is increased by using intelligent science and technology means.
At present, an image pickup system of a low-altitude flight device is often used for collecting and acquiring image data by using a high-resolution camera and processing and analyzing the image data, but in the prior art, the analysis and the processing of the high-resolution dynamic image data are often carried out according to the collected original image data, the image is subjected to image splicing and image impurity removal, the processed image is output according to an original output way and is used as final reference image data, the resolution optimization processing cannot be carried out on the image data shot by the image pickup system in low-altitude movement, and the precision and the quality of the low-altitude image data are reduced.
In view of the above problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a low-altitude high-resolution analysis-based picture imaging method and device, which at least solve the technical problems that in the prior art, analysis and processing of high-resolution dynamic image data are often carried out according to collected original image data, image splicing and image impurity removal are carried out, and a processed image is output according to an original output way and is used as final reference image data, so that resolution optimization processing cannot be carried out on image data shot by an imaging system in low-altitude movement, and the precision and quality of the low-altitude image data are reduced.
According to an aspect of the embodiment of the present invention, there is provided a low-altitude high-resolution-based picture imaging method, including: acquiring original image data and original image parameters; comparing the original image parameters with a preset resolution threshold to obtain a comparison result; optimizing the original image data according to the comparison result to obtain optimized image data; and marking operation is carried out according to the optimized image data and the original image data, so as to obtain imaging result data.
Optionally, the original image parameters include: image resolution, image generation scene, time stamp.
Optionally, the comparing the original image parameter with a preset resolution threshold value to obtain a comparison result includes: extracting an image resolution parameter from the original image parameters; comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises: not lower than the threshold value.
Optionally, optimizing the original image data according to the comparison result, to obtain optimized image data includes: when the comparison result is lower than a threshold value, the following operation is performed: performing resolution improvement operation on pixel components in the original image data to obtain optimized pixel components; and integrating the optimized pixel components to obtain the optimized image data.
According to another aspect of the embodiment of the present invention, there is also provided a low-altitude high-resolution-based picture imaging apparatus, including: the acquisition module is used for acquiring the original image data and the original image parameters; the comparison module is used for comparing the original image parameters with a preset resolution threshold value to obtain a comparison result; the optimizing module is used for optimizing the original image data according to the comparison result to obtain optimized image data; and the marking module is used for marking according to the optimized image data and the original image data to obtain imaging result data.
Optionally, the original image parameters include: image resolution, image generation scene, time stamp.
Optionally, the comparison module includes: an extracting unit, configured to extract an image resolution parameter from the original image parameters; the comparison unit is used for comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises the following steps: not lower than the threshold value.
Optionally, the root optimization module includes: and the judging unit is used for carrying out the following operations when the comparison result is lower than a threshold value: the optimizing unit is used for carrying out resolution improvement operation on pixel components in the original image data to obtain optimized pixel components; and the integration unit is used for integrating the optimized pixel components to obtain the optimized image data.
According to another aspect of the embodiment of the present invention, there is further provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored program, and when the program runs, the device where the nonvolatile storage medium is controlled to execute a low-altitude high-resolution analysis-based picture imaging method.
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including a processor and a memory; the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, where the computer readable instructions execute a low-altitude high-resolution analysis-based image imaging method when executed.
In the embodiment of the invention, the original image data and the original image parameters are acquired; comparing the original image parameters with a preset resolution threshold to obtain a comparison result; optimizing the original image data according to the comparison result to obtain optimized image data; the method for obtaining imaging result data by marking the optimized image data and the original image data solves the technical problems that in the prior art, analysis and processing of high-resolution dynamic image data often carry out image splicing and image impurity removal according to the collected original image data, and the processed image is output according to an original output way and is used as final reference image data, resolution optimization processing cannot be carried out on the image data shot by an imaging system in low-altitude movement, and the accuracy and quality of the low-altitude image data are reduced.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a low-altitude high-resolution-based picture imaging method according to an embodiment of the invention;
fig. 2 is a block diagram of a low-altitude high-resolution-based picture imaging apparatus according to an embodiment of the present invention;
fig. 3 is a block diagram of a terminal device for performing the method according to the invention according to an embodiment of the invention;
Fig. 4 is a memory unit for holding or carrying program code for implementing a method according to the invention, according to an embodiment of the invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided a method embodiment of a low-altitude high-resolution-based screen imaging method, it being noted that the steps shown in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that although a logical order is shown in the flowchart, in some cases the steps shown or described may be performed in an order different from that herein.
Example 1
Fig. 1 is a flowchart of a low-altitude high-resolution-based picture imaging method according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, original image data and original image parameters are acquired.
And step S104, comparing the original image parameters with a preset resolution threshold to obtain a comparison result.
And step S106, optimizing the original image data according to the comparison result to obtain optimized image data.
And step S108, marking operation is carried out according to the optimized image data and the original image data, and imaging result data is obtained.
Optionally, the original image parameters include: image resolution, image generation scene, time stamp.
Optionally, the comparing the original image parameter with a preset resolution threshold value to obtain a comparison result includes: extracting an image resolution parameter from the original image parameters; comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises: not lower than the threshold value.
Optionally, optimizing the original image data according to the comparison result, to obtain optimized image data includes: when the comparison result is lower than a threshold value, the following operation is performed: performing resolution improvement operation on pixel components in the original image data to obtain optimized pixel components; and integrating the optimized pixel components to obtain the optimized image data.
By the embodiment, the technical problems that in the prior art, the resolution of the image data shot by the shooting system in low-altitude movement cannot be optimized by performing image splicing and image impurity removal on the high-resolution dynamic image data according to the acquired original image data and outputting the processed image according to the original output way in the resolution optimization processing of the image data shot by the shooting system in low-altitude movement are solved.
Example two
Fig. 2 is a block diagram of a low-altitude high-resolution-based picture imaging apparatus according to an embodiment of the present invention, as shown in fig. 2, the apparatus includes:
the acquisition module 20 is used for the original image data and the original image parameters.
And the comparison module 22 is used for comparing the original image parameters with a preset resolution threshold value to obtain a comparison result.
And the optimizing module 24 is configured to optimize the original image data according to the comparison result, so as to obtain optimized image data.
And a marking module 26, configured to perform marking operation according to the optimized image data and the original image data, so as to obtain imaging result data.
Optionally, the original image parameters include: image resolution, image generation scene, time stamp.
Optionally, the comparison module includes: an extracting unit, configured to extract an image resolution parameter from the original image parameters; the comparison unit is used for comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises the following steps: not lower than the threshold value.
Optionally, the root optimization module includes: and the judging unit is used for carrying out the following operations when the comparison result is lower than a threshold value: the optimizing unit is used for carrying out resolution improvement operation on pixel components in the original image data to obtain optimized pixel components; and the integration unit is used for integrating the optimized pixel components to obtain the optimized image data.
By the embodiment, the technical problems that in the prior art, the resolution of the image data shot by the shooting system in low-altitude movement cannot be optimized by performing image splicing and image impurity removal on the high-resolution dynamic image data according to the acquired original image data and outputting the processed image according to the original output way in the resolution optimization processing of the image data shot by the shooting system in low-altitude movement are solved.
According to another aspect of the embodiment of the present invention, there is further provided a nonvolatile storage medium, where the nonvolatile storage medium includes a stored program, and when the program runs, the device where the nonvolatile storage medium is controlled to execute a low-altitude high-resolution analysis-based picture imaging method.
Specifically, the method comprises the following steps: acquiring original image data and original image parameters; comparing the original image parameters with a preset resolution threshold to obtain a comparison result; optimizing the original image data according to the comparison result to obtain optimized image data; and marking operation is carried out according to the optimized image data and the original image data, so as to obtain imaging result data. Optionally, the original image parameters include: image resolution, image generation scene, time stamp. Optionally, the comparing the original image parameter with a preset resolution threshold value to obtain a comparison result includes: extracting an image resolution parameter from the original image parameters; comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises: not lower than the threshold value. Optionally, optimizing the original image data according to the comparison result, to obtain optimized image data includes: when the comparison result is lower than a threshold value, the following operation is performed: performing resolution improvement operation on pixel components in the original image data to obtain optimized pixel components; and integrating the optimized pixel components to obtain the optimized image data.
According to another aspect of the embodiment of the present invention, there is also provided an electronic device including a processor and a memory; the memory stores computer readable instructions, and the processor is configured to execute the computer readable instructions, where the computer readable instructions execute a low-altitude high-resolution analysis-based image imaging method when executed.
Specifically, the method comprises the following steps: acquiring original image data and original image parameters; comparing the original image parameters with a preset resolution threshold to obtain a comparison result; optimizing the original image data according to the comparison result to obtain optimized image data; and marking operation is carried out according to the optimized image data and the original image data, so as to obtain imaging result data. Optionally, the original image parameters include: image resolution, image generation scene, time stamp. Optionally, the comparing the original image parameter with a preset resolution threshold value to obtain a comparison result includes: extracting an image resolution parameter from the original image parameters; comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises: not lower than the threshold value. Optionally, optimizing the original image data according to the comparison result, to obtain optimized image data includes: when the comparison result is lower than a threshold value, the following operation is performed: performing resolution improvement operation on pixel components in the original image data to obtain optimized pixel components; and integrating the optimized pixel components to obtain the optimized image data.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, fig. 3 is a schematic hardware structure of a terminal device according to an embodiment of the present application. As shown in fig. 3, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. The communication bus 34 is used to enable communication connections between the elements. The memory 33 may comprise a high-speed RAM memory or may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, in which various programs may be stored for performing various processing functions and implementing the method steps of the present embodiment.
Alternatively, the processor 31 may be implemented as, for example, a central processing unit (Central Processing Unit, abbreviated as CPU), an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and the processor 31 is coupled to the input device 30 and the output device 32 through wired or wireless connections.
Alternatively, the input device 30 may include a variety of input devices, for example, may include at least one of a user-oriented user interface, a device-oriented device interface, a programmable interface of software, a camera, and a sensor. Optionally, the device interface facing the device may be a wired interface for data transmission between devices, or may be a hardware insertion interface (such as a USB interface, a serial port, etc.) for data transmission between devices; alternatively, the user-oriented user interface may be, for example, a user-oriented control key, a voice input device for receiving voice input, and a touch-sensitive device (e.g., a touch screen, a touch pad, etc. having touch-sensitive functionality) for receiving user touch input by a user; optionally, the programmable interface of the software may be, for example, an entry for a user to edit or modify a program, for example, an input pin interface or an input interface of a chip, etc.; optionally, the transceiver may be a radio frequency transceiver chip, a baseband processing chip, a transceiver antenna, etc. with a communication function. An audio input device such as a microphone may receive voice data. The output device 32 may include a display, audio, or the like.
In this embodiment, the processor of the terminal device may include functions for executing each module of the data processing apparatus in each device, and specific functions and technical effects may be referred to the above embodiments and are not described herein again.
Fig. 4 is a schematic hardware structure of a terminal device according to another embodiment of the present application. Fig. 4 is a specific embodiment of the implementation of fig. 3. As shown in fig. 4, the terminal device of the present embodiment includes a processor 41 and a memory 42.
The processor 41 executes the computer program code stored in the memory 42 to implement the methods of the above-described embodiments.
The memory 42 is configured to store various types of data to support operation at the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, pictures, video, etc. The memory 42 may include random access memory (random access memory, simply RAM) and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, a processor 41 is provided in the processing assembly 40. The terminal device may further include: a communication component 43, a power supply component 44, a multimedia component 45, an audio component 46, an input/output interface 47 and/or a sensor component 48. The components and the like specifically included in the terminal device are set according to actual requirements, which are not limited in this embodiment.
The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to perform all or part of the steps of the methods described above. Further, the processing component 40 may include one or more modules that facilitate interactions between the processing component 40 and other components. For example, processing component 40 may include a multimedia module to facilitate interaction between multimedia component 45 and processing component 40.
The power supply assembly 44 provides power to the various components of the terminal device. Power supply components 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for terminal devices.
The multimedia component 45 comprises a display screen between the terminal device and the user providing an output interface. In some embodiments, the display screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation.
The audio component 46 is configured to output and/or input audio signals. For example, the audio component 46 includes a Microphone (MIC) configured to receive external audio signals when the terminal device is in an operational mode, such as a speech recognition mode. The received audio signals may be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, audio assembly 46 further includes a speaker for outputting audio signals.
The input/output interface 47 provides an interface between the processing assembly 40 and peripheral interface modules, which may be click wheels, buttons, etc. These buttons may include, but are not limited to: volume button, start button and lock button.
The sensor assembly 48 includes one or more sensors for providing status assessment of various aspects for the terminal device. For example, the sensor assembly 48 may detect the open/closed state of the terminal device, the relative positioning of the assembly, the presence or absence of user contact with the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera or the like.
The communication component 43 is configured to facilitate communication between the terminal device and other devices in a wired or wireless manner. The terminal device may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot, where the SIM card slot is used to insert a SIM card, so that the terminal device may log into a GPRS network, and establish communication with a server through the internet.
From the above, it will be appreciated that the communication component 43, the audio component 46, and the input/output interface 47, the sensor component 48 referred to in the embodiment of fig. 4 may be implemented as an input device in the embodiment of fig. 3.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, for example, may be a logic function division, and may be implemented in another manner, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a read-only memory (ROM), a random access memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (10)
1. A picture imaging method based on low-altitude high-resolution analysis is characterized by comprising the following steps:
acquiring original image data and original image parameters;
Comparing the original image parameters with a preset resolution threshold to obtain a comparison result;
Optimizing the original image data according to the comparison result to obtain optimized image data;
and marking operation is carried out according to the optimized image data and the original image data, so as to obtain imaging result data.
2. The method of claim 1, wherein the original image parameters comprise: image resolution, image generation scene, time stamp.
3. The method of claim 1, wherein comparing the original image parameter with a preset resolution threshold value to obtain a comparison result comprises:
extracting an image resolution parameter from the original image parameters;
comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises: not lower than the threshold value.
4. The method of claim 1, wherein optimizing the raw image data based on the comparison result to obtain optimized image data comprises:
when the comparison result is lower than a threshold value, the following operation is performed:
performing resolution improvement operation on pixel components in the original image data to obtain optimized pixel components;
and integrating the optimized pixel components to obtain the optimized image data.
5. A low-altitude high-resolution-based picture imaging apparatus, comprising:
the acquisition module is used for acquiring the original image data and the original image parameters;
The comparison module is used for comparing the original image parameters with a preset resolution threshold value to obtain a comparison result;
the optimizing module is used for optimizing the original image data according to the comparison result to obtain optimized image data;
And the marking module is used for marking according to the optimized image data and the original image data to obtain imaging result data.
6. The apparatus of claim 5, wherein the original image parameters comprise: image resolution, image generation scene, time stamp.
7. The apparatus of claim 5, wherein the comparison module comprises:
an extracting unit, configured to extract an image resolution parameter from the original image parameters;
The comparison unit is used for comparing the image resolution with the preset resolution to obtain a comparison result, wherein the comparison result comprises the following steps: not lower than the threshold value.
8. The apparatus of claim 5, wherein the root optimization module comprises:
and the judging unit is used for carrying out the following operations when the comparison result is lower than a threshold value:
The optimizing unit is used for carrying out resolution improvement operation on pixel components in the original image data to obtain optimized pixel components;
and the integration unit is used for integrating the optimized pixel components to obtain the optimized image data.
9. A non-volatile storage medium, characterized in that the non-volatile storage medium comprises a stored program, wherein the program, when run, controls a device in which the non-volatile storage medium is located to perform the method of any one of claims 1 to 4.
10. An electronic device comprising a processor and a memory; the memory has stored therein computer readable instructions for executing the processor, wherein the computer readable instructions when executed perform the method of any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410059357.0A CN117896625A (en) | 2024-01-16 | 2024-01-16 | Picture imaging method and device based on low-altitude high-resolution analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410059357.0A CN117896625A (en) | 2024-01-16 | 2024-01-16 | Picture imaging method and device based on low-altitude high-resolution analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117896625A true CN117896625A (en) | 2024-04-16 |
Family
ID=90645345
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410059357.0A Pending CN117896625A (en) | 2024-01-16 | 2024-01-16 | Picture imaging method and device based on low-altitude high-resolution analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117896625A (en) |
-
2024
- 2024-01-16 CN CN202410059357.0A patent/CN117896625A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN115426525B (en) | High-speed dynamic frame linkage image splitting method and device | |
| CN115631122A (en) | Image optimization method and device for edge image algorithm | |
| CN116614453B (en) | Image transmission bandwidth selection method and device based on cloud interconnection | |
| CN116261044B (en) | Intelligent focusing method and device for hundred million-level cameras | |
| CN117896625A (en) | Picture imaging method and device based on low-altitude high-resolution analysis | |
| CN115511735B (en) | Snow field gray scale picture optimization method and device | |
| CN116579965B (en) | Multi-image fusion method and device | |
| CN116723419B (en) | Acquisition speed optimization method and device for billion-level high-precision camera | |
| CN116468883B (en) | High-precision image data volume fog recognition method and device | |
| CN116579964B (en) | Dynamic frame gradual-in gradual-out dynamic fusion method and device | |
| CN116389915B (en) | Method and device for reducing flicker of light field camera | |
| CN116228593B (en) | Image perfecting method and device based on hierarchical antialiasing | |
| CN115460389B (en) | Image white balance area optimization method and device | |
| CN116723298B (en) | Method and device for improving transmission efficiency of camera end | |
| CN116302041B (en) | Optimization method and device for light field camera interface module | |
| CN116452481A (en) | Multi-angle combined shooting method and device | |
| CN115345808B (en) | Picture generation method and device based on multi-element information acquisition | |
| CN115914819B (en) | Picture capturing method and device based on orthogonal decomposition algorithm | |
| CN116309523A (en) | Dynamic frame image dynamic fuzzy recognition method and device | |
| CN116402935B (en) | Image synthesis method and device based on ray tracing algorithm | |
| CN115858240B (en) | Optical camera data backup method and device | |
| CN116506423A (en) | Information security data reporting method and device | |
| CN117871419A (en) | Air quality detection method and device based on optical camera holder control | |
| CN116663886A (en) | Information security event combing method and device | |
| CN116389887A (en) | Dynamic optimization-based light field camera configuration method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination |