CN112001869A - Method and equipment for improving signal-to-noise ratio - Google Patents
Method and equipment for improving signal-to-noise ratio Download PDFInfo
- Publication number
- CN112001869A CN112001869A CN202010777100.0A CN202010777100A CN112001869A CN 112001869 A CN112001869 A CN 112001869A CN 202010777100 A CN202010777100 A CN 202010777100A CN 112001869 A CN112001869 A CN 112001869A
- Authority
- CN
- China
- Prior art keywords
- image
- images
- processed
- algorithm
- parameter
- 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.)
- Withdrawn
Links
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000003384 imaging method Methods 0.000 claims abstract description 36
- 238000012545 processing Methods 0.000 claims abstract description 23
- 230000008569 process Effects 0.000 claims abstract description 11
- 238000011161 development Methods 0.000 claims description 27
- 230000004927 fusion Effects 0.000 claims description 8
- 238000012935 Averaging Methods 0.000 claims description 6
- 238000009825 accumulation Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 6
- 238000012217 deletion Methods 0.000 claims description 4
- 230000037430 deletion Effects 0.000 claims description 4
- 238000004590 computer program Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
-
- 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
- G06T2207/10016—Video; Image sequence
-
- 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
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
Abstract
The invention provides a method and equipment for improving signal-to-noise ratio, wherein the method comprises the following steps: enabling each imaging device in the plurality of imaging devices to acquire images for a plurality of times in the same time, and respectively processing a plurality of images acquired by each imaging device to obtain a plurality of processed images; transmitting the plurality of processed images to a processor, wherein the processor processes each processed image by using a first algorithm to obtain a parameter of each processed image and compares each parameter with a threshold value respectively; and sequentially fusing all the processed images with the parameters larger than the threshold value by using a second algorithm. By using the scheme of the invention, the signal-to-noise ratio of the image signal can be improved, and the resolution of the acquired image can be improved.
Description
Technical Field
The field relates to the field of computers, and more particularly to a method and apparatus for improving signal to noise ratio.
Background
Due to the rapid popularization of video monitoring technology, people have higher and higher requirements on the quality of video images, and how to improve the SNR (signal to noise ratio) of image signal transmission in a short time and improve the quality of image signals are more and more paid attention by people. However, the traditional single-camera image signal acquisition has the limitations of low measurement precision, poor reliability, incapability of judging the conditions among measurement points and the like. So that the SNR improvement of the image signal acquired by a single camera is not ideal and the resolution of the image is low.
Disclosure of Invention
In view of this, an object of the embodiments of the present invention is to provide a method and an apparatus for improving a signal-to-noise ratio of a signal, which can improve the signal-to-noise ratio of an image signal and improve a resolution of an acquired image.
In view of the above object, an aspect of the embodiments of the present invention provides a method for improving signal-to-noise ratio, including the steps of:
enabling each imaging device in the plurality of imaging devices to acquire images for a plurality of times in the same time, and respectively processing a plurality of images acquired by each imaging device to obtain a plurality of processed images;
transmitting the plurality of processed images to a processor, wherein the processor processes each processed image by using a first algorithm to obtain a parameter of each processed image and compares each parameter with a threshold value respectively;
and sequentially fusing all the processed images with the parameters larger than the threshold value by using a second algorithm.
According to an embodiment of the present invention, causing each of a plurality of imaging devices to perform a plurality of image acquisitions within the same time, and processing a plurality of images acquired by each of the imaging devices respectively to obtain a plurality of processed images includes:
mounting an image forming apparatus on each of the plurality of development boards;
controlling the imaging equipment on each development board to acquire images for the same times in the same time;
and respectively carrying out accumulation and averaging processing on a plurality of images acquired on each development board to obtain processed images.
According to one embodiment of the invention, the first algorithm is a wavelet algorithm and the second algorithm is a cross-correlation algorithm.
According to an embodiment of the present invention, further comprising:
and deleting the processed image in response to the parameter of the processed image being less than the threshold.
According to one embodiment of the invention, the parameter comprises a resolution of the image.
According to one embodiment of the present invention, sequentially fusing, using a second algorithm, the processed images having all parameters greater than the threshold value in order comprises:
sorting the processed images of which all parameters are greater than the threshold value;
fusing the first sequential image and the second sequential image using a second algorithm;
and fusing the fused image and the third sequence image by using a second algorithm until all the images are fused.
In another aspect of the embodiments of the present invention, there is also provided an apparatus for improving a signal-to-noise ratio, the apparatus including:
the acquisition module is configured to enable each imaging device in the plurality of imaging devices to acquire images for a plurality of times within the same time, and respectively process a plurality of images acquired by each imaging device to obtain a plurality of processed images;
a processing module configured to transmit the plurality of processed images to a processor, the processor processing each processed image using a first algorithm to obtain a parameter of each processed image and comparing each parameter with a threshold value, respectively;
and the fusion module is configured to sequentially fuse the processed images of which all the parameters are greater than the threshold value by using a second algorithm.
According to one embodiment of the invention, the acquisition module is further configured to:
mounting an image forming apparatus on each of the plurality of development boards;
controlling the imaging equipment on each development board to acquire images for the same times in the same time;
and respectively carrying out accumulation and averaging processing on a plurality of images acquired on each development board to obtain processed images.
According to an embodiment of the invention, the fusion module is further configured to:
sorting the processed images of which all parameters are greater than the threshold value;
fusing the first sequential image and the second sequential image using a second algorithm;
and fusing the fused image and the third sequence image by using a second algorithm until all the images are fused.
According to an embodiment of the present invention, the system further comprises a deletion module configured to:
and deleting the processed image in response to the parameter of the processed image being less than the threshold.
The invention has the following beneficial technical effects: according to the method for improving the signal-to-noise ratio of the signal, provided by the embodiment of the invention, each imaging device in a plurality of imaging devices is subjected to image acquisition for a plurality of times within the same time, and a plurality of images acquired by each imaging device are respectively processed to obtain a plurality of processed images; transmitting the plurality of processed images to a processor, wherein the processor processes each processed image by using a first algorithm to obtain a parameter of each processed image and compares each parameter with a threshold value respectively; the technical scheme of sequentially fusing all the processed images with the parameters larger than the threshold value by using a second algorithm can improve the signal-to-noise ratio of image signals and improve the resolution of the acquired images.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other embodiments can be obtained by using the drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram of a method of improving signal to noise ratio in accordance with one embodiment of the present invention;
FIG. 2 is a schematic diagram of an apparatus for improving signal to noise ratio according to one embodiment of the present invention;
fig. 3 is a schematic flow chart of a method of improving signal to noise ratio according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following embodiments of the present invention are described in further detail with reference to the accompanying drawings.
In view of the above objects, a first aspect of embodiments of the present invention proposes an embodiment of a method for improving signal to noise ratio. Fig. 1 shows a schematic flow diagram of the method.
As shown in fig. 1, the method may include the steps of:
s1 performs multiple image acquisitions by each of multiple imaging devices in the same time, and processes multiple images acquired by each of the imaging devices to obtain multiple processed images, where the imaging device may be a video camera or a still camera, and the processed image is an image from which a part of clutter signals are filtered;
s2 transmitting the plurality of processed images to a processor, the processor processing each processed image using a first algorithm to obtain a parameter of each processed image and comparing each parameter with a threshold, where the first algorithm is a wavelet algorithm, the processor may be a computer or other device capable of processing images, respectively obtaining a parameter of the processed image of each imaging device, respectively comparing each parameter with a threshold of the parameter, discarding the processed image if the parameter is lower than the threshold, and finally obtaining all images with parameters higher than the threshold;
s3, sequentially fusing all the processed images with parameters larger than the threshold value by using a second algorithm in sequence, wherein the second algorithm is a cross-correlation algorithm, and obtaining the image with improved signal-to-noise ratio after fusion.
The technical scheme of the invention is based on the data sharing characteristic of an IOT (Internet of things) platform, and is used for improving the SNR of the signals acquired by the camera and improving the resolution of the acquired images. A plurality of development boards and cameras (video cameras or cameras) can be prepared, one camera is connected to each development board, the development boards are operated in a linux3.10 environment, the development boards are controlled to acquire images for a plurality of times in the same time, image signals acquired by the same camera for a plurality of times are accumulated and averaged, then, the processed image data acquired by all the development boards are transmitted to a PC (computer) upper computer through a network, after the PC upper computer receives the images acquired by the multipoint cameras, a wavelet algorithm is firstly used for the images, the resolution of the images is calculated after the processing is finished, if the resolution is lower than a certain threshold, the images are removed, if the resolution of the images meets the requirement, the images are subjected to cross-correlation processing, part of clutter signals in the transmitted image signals are filtered, and the signal to noise ratio of the image signals is improved.
By the technical scheme, the signal-to-noise ratio of the image signal can be improved, and the resolution of the acquired image is improved.
In a preferred embodiment of the present invention, enabling each of the plurality of imaging devices to perform a plurality of image acquisitions within the same time, and processing the plurality of images acquired by each of the imaging devices to obtain a plurality of processed images respectively comprises:
mounting an image forming apparatus on each of the plurality of development boards;
controlling the imaging equipment on each development board to acquire images for the same times in the same time;
and respectively carrying out accumulation and averaging processing on a plurality of images acquired on each development board to obtain processed images.
In a preferred embodiment of the invention, the first algorithm is a wavelet algorithm and the second algorithm is a cross-correlation algorithm.
In a preferred embodiment of the present invention, the method further comprises:
and deleting the processed image in response to the parameter of the processed image being less than the threshold. The parameter is the resolution of the image, and if the parameter is smaller than the threshold, the image is considered to not meet the requirement of fusion, and the image needs to be deleted.
In a preferred embodiment of the invention, the parameter comprises a resolution of the image.
In a preferred embodiment of the present invention, sequentially fusing all the processed images with parameters larger than the threshold value in order using the second algorithm comprises:
sorting the processed images of which all parameters are greater than the threshold value;
fusing the first sequential image and the second sequential image using a second algorithm;
and fusing the fused image and the third sequence image by using a second algorithm, and repeating the steps, and fusing the fused image and the next sequence image until all the images are fused.
Examples
Fig. 3 is a specific embodiment of the method of the present invention, and the IP of the development board and the IP of the upper computer PC are first set, so that the development board and the IP of the upper computer PC can transmit and acquire pictures through the network and display the pictures on the upper computer PC. The camera on each development board is controlled by the PC at the far-end upper computer, the images are collected for multiple times, and the collected signals are accumulated and averaged on each development board, so that part of clutter signals are filtered, and the SNR of the image signals is improved.
And then, transmitting the processed signals acquired by the multiple cameras to a PC (personal computer) end of an upper computer through an IP (Internet protocol) network, processing the image by using a wavelet algorithm at the PC end, setting a resolution threshold of the image at the PC end of the upper computer, and discarding the image acquired by the camera when the resolution of the image processed by the wavelet algorithm is lower than the threshold.
If the resolution of the image processed by the wavelet algorithm is higher than the set threshold, the image is fused by using a cross-correlation algorithm, the images collected by the first camera and the second camera are fused, then the fused image and the image collected by the third camera are fused, and the like until the images collected by all the cameras are fused into one image.
By the technical scheme, the signal-to-noise ratio of the image signal can be improved, and the resolution of the acquired image is improved.
It should be noted that, as will be understood by those skilled in the art, all or part of the processes in the methods of the above embodiments may be implemented by instructing relevant hardware through a computer program, and the above programs may be stored in a computer-readable storage medium, and when executed, the programs may include the processes of the embodiments of the methods as described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. The embodiments of the computer program may achieve the same or similar effects as any of the above-described method embodiments.
Furthermore, the method disclosed according to an embodiment of the present invention may also be implemented as a computer program executed by a CPU, and the computer program may be stored in a computer-readable storage medium. The computer program, when executed by the CPU, performs the above-described functions defined in the method disclosed in the embodiments of the present invention.
In view of the above object, according to a second aspect of the embodiments of the present invention, there is provided an apparatus for improving signal-to-noise ratio, as shown in fig. 2, the apparatus 200 includes:
the acquisition module is configured to enable each imaging device in the plurality of imaging devices to acquire images for a plurality of times within the same time, and respectively process a plurality of images acquired by each imaging device to obtain a plurality of processed images;
a processing module configured to transmit the plurality of processed images to a processor, the processor processing each processed image using a first algorithm to obtain a parameter of each processed image and comparing each parameter with a threshold value, respectively;
and the fusion module is configured to sequentially fuse the processed images of which all the parameters are greater than the threshold value by using a second algorithm.
In a preferred embodiment of the present invention, the acquisition module is further configured to:
mounting an image forming apparatus on each of the plurality of development boards;
controlling the imaging equipment on each development board to acquire images for the same times in the same time;
and respectively carrying out accumulation and averaging processing on a plurality of images acquired on each development board to obtain processed images.
In a preferred embodiment of the invention, the fusion module is further configured to:
sorting the processed images of which all parameters are greater than the threshold value;
fusing the first sequential image and the second sequential image using a second algorithm;
and fusing the fused image and the third sequence image by using a second algorithm until all the images are fused.
In a preferred embodiment of the present invention, the system further includes a deletion module, and the deletion module is configured to:
and deleting the processed image in response to the parameter of the processed image being less than the threshold.
It should be particularly noted that the embodiment of the system described above employs the embodiment of the method described above to specifically describe the working process of each module, and those skilled in the art can easily think that the modules are applied to other embodiments of the method described above.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the disclosed embodiments of the present invention.
The embodiments described above, particularly any "preferred" embodiments, are possible examples of implementations and are presented merely to clearly understand the principles of the invention. Many variations and modifications may be made to the above-described embodiments without departing from the spirit and principles of the technology described herein. All such modifications are intended to be included within the scope of this disclosure and protected by the following claims.
Claims (10)
1. A method for improving signal to noise ratio of a signal, comprising the steps of:
enabling each imaging device in the plurality of imaging devices to acquire images for a plurality of times in the same time, and respectively processing a plurality of images acquired by each imaging device to obtain a plurality of processed images;
transmitting the plurality of processed images to a processor, wherein the processor processes each processed image by using a first algorithm to obtain a parameter of each processed image and compares each parameter with a threshold value respectively;
and sequentially fusing all the processed images with the parameters larger than the threshold value by using a second algorithm.
2. The method of claim 1, wherein capturing a plurality of images by each of a plurality of imaging devices at a same time and processing the plurality of images captured by each imaging device to obtain a plurality of processed images comprises:
mounting an image forming apparatus on each of the plurality of development boards;
controlling the imaging equipment on each development board to acquire images for the same times in the same time;
and respectively carrying out accumulation and averaging processing on a plurality of images acquired on each development board to obtain processed images.
3. The method of claim 1, wherein the first algorithm is a wavelet algorithm and the second algorithm is a cross-correlation algorithm.
4. The method of claim 1, further comprising:
deleting the processed image in response to the parameter of the processed image being less than the threshold.
5. The method of claim 1, wherein the parameter comprises a resolution of the image.
6. The method of claim 1, wherein sequentially fusing the processed images having all parameters greater than the threshold value in order using a second algorithm comprises:
sorting the processed images with all parameters greater than the threshold;
fusing the first sequential image with the second sequential image using the second algorithm;
and fusing the fused image and the third sequence image by using the second algorithm until all the images are fused.
7. An apparatus for improving signal to noise ratio, the apparatus comprising:
an acquisition module configured to perform image acquisition for each of a plurality of imaging devices a plurality of times within the same time, and to process a plurality of images acquired by each of the imaging devices respectively to obtain a plurality of processed images;
a processing module configured to transmit the plurality of processed images to a processor, the processor processing each processed image using a first algorithm to obtain a parameter for each processed image and comparing each parameter to a threshold value, respectively;
and the fusion module is configured to sequentially fuse the processed images of which all the parameters are greater than the threshold value by using a second algorithm.
8. The device of claim 7, wherein the acquisition module is further configured to:
mounting an image forming apparatus on each of the plurality of development boards;
controlling the imaging equipment on each development board to acquire images for the same times in the same time;
and respectively carrying out accumulation and averaging processing on a plurality of images acquired on each development board to obtain processed images.
9. The device of claim 7, wherein the fusion module is further configured to:
sorting the processed images with all parameters greater than the threshold;
fusing the first sequential image with the second sequential image using the second algorithm;
and fusing the fused image and the third sequence image by using the second algorithm until all the images are fused.
10. The device of claim 7, further comprising a deletion module configured to:
deleting the processed image in response to the parameter of the processed image being less than the threshold.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010777100.0A CN112001869A (en) | 2020-08-05 | 2020-08-05 | Method and equipment for improving signal-to-noise ratio |
| PCT/CN2021/096547 WO2022028062A1 (en) | 2020-08-05 | 2021-05-27 | Method and device for improving signal-to-noise ratio of signal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010777100.0A CN112001869A (en) | 2020-08-05 | 2020-08-05 | Method and equipment for improving signal-to-noise ratio |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112001869A true CN112001869A (en) | 2020-11-27 |
Family
ID=73463461
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010777100.0A Withdrawn CN112001869A (en) | 2020-08-05 | 2020-08-05 | Method and equipment for improving signal-to-noise ratio |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112001869A (en) |
| WO (1) | WO2022028062A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022028062A1 (en) * | 2020-08-05 | 2022-02-10 | 苏州浪潮智能科技有限公司 | Method and device for improving signal-to-noise ratio of signal |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109040597A (en) * | 2018-08-28 | 2018-12-18 | Oppo广东移动通信有限公司 | A kind of image processing method based on multi-cam, mobile terminal and storage medium |
| CN111091506A (en) * | 2019-12-02 | 2020-05-01 | RealMe重庆移动通信有限公司 | Image processing method and device, storage medium and electronic equipment |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104836960B (en) * | 2015-05-29 | 2017-12-08 | 京东方科技集团股份有限公司 | A kind of image capturing system and image-pickup method |
| US9665927B2 (en) * | 2015-06-03 | 2017-05-30 | Samsung Electronics Co., Ltd. | Method and apparatus of multi-frame super resolution robust to local and global motion |
| CN109035160B (en) * | 2018-06-29 | 2022-06-21 | 哈尔滨商业大学 | Medical image fusion method and image detection method based on fusion medical image learning |
| CN110599398A (en) * | 2019-06-26 | 2019-12-20 | 江苏理工学院 | Online image splicing and fusing method based on wavelet technology |
| CN112001869A (en) * | 2020-08-05 | 2020-11-27 | 苏州浪潮智能科技有限公司 | Method and equipment for improving signal-to-noise ratio |
| CN111918038A (en) * | 2020-08-11 | 2020-11-10 | 苏州浪潮智能科技有限公司 | Method for improving signal-to-noise ratio of signal by multi-camera cross-correlation fusion based on Internet of things |
-
2020
- 2020-08-05 CN CN202010777100.0A patent/CN112001869A/en not_active Withdrawn
-
2021
- 2021-05-27 WO PCT/CN2021/096547 patent/WO2022028062A1/en active Application Filing
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109040597A (en) * | 2018-08-28 | 2018-12-18 | Oppo广东移动通信有限公司 | A kind of image processing method based on multi-cam, mobile terminal and storage medium |
| CN111091506A (en) * | 2019-12-02 | 2020-05-01 | RealMe重庆移动通信有限公司 | Image processing method and device, storage medium and electronic equipment |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022028062A1 (en) * | 2020-08-05 | 2022-02-10 | 苏州浪潮智能科技有限公司 | Method and device for improving signal-to-noise ratio of signal |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022028062A1 (en) | 2022-02-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111193923B (en) | Video quality evaluation method and device, electronic equipment and computer storage medium | |
| US20020141619A1 (en) | Motion and audio detection based webcamming and bandwidth control | |
| CN108827970B (en) | AOI system-based method and system for automatically judging defects of different panels | |
| CN100473154C (en) | Image pickup apparatus and image distributing method | |
| US20090185784A1 (en) | Video surveillance system and method using ip-based networks | |
| CN112001274B (en) | Crowd density determining method, device, storage medium and processor | |
| JP2005176143A (en) | Monitoring apparatus | |
| CN105335932B (en) | Multiplex image acquisition combination method and system | |
| DE102005045077A1 (en) | A method and apparatus for distributed analysis of images | |
| CN109698906B (en) | Image-based jitter processing method and device and video monitoring system | |
| CN112001869A (en) | Method and equipment for improving signal-to-noise ratio | |
| CN110392207B (en) | Method and device for triggering focusing of camera equipment | |
| CN106888353A (en) | A kind of image-pickup method and equipment | |
| CN114650361B (en) | Shooting mode determining method, shooting mode determining device, electronic equipment and storage medium | |
| CN113822814A (en) | Environment identification system and method using big data storage | |
| US11064156B2 (en) | Camera control method, camera, and surveillance system | |
| CN112087569B (en) | Camera and camera starting method and device | |
| CN109672829B (en) | Image brightness adjusting method and device, storage medium and terminal | |
| CN113744139A (en) | Image processing method, image processing device, electronic equipment and storage medium | |
| CN110809166B (en) | Video data processing method and device and electronic equipment | |
| CN113068024A (en) | Real-time snap analysis method and storage medium | |
| CN113973201B (en) | Erection evaluation method and device for shooting equipment | |
| CN111667436A (en) | Image transmission method and device for wireless three-dimensional scanner | |
| JP4333255B2 (en) | Monitoring device | |
| CN114040141A (en) | Data transmission method, camera and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201127 |
|
| WW01 | Invention patent application withdrawn after publication |