CN109842759B - Network service operation control platform - Google Patents

Network service operation control platform Download PDF

Info

Publication number
CN109842759B
CN109842759B CN201910051660.5A CN201910051660A CN109842759B CN 109842759 B CN109842759 B CN 109842759B CN 201910051660 A CN201910051660 A CN 201910051660A CN 109842759 B CN109842759 B CN 109842759B
Authority
CN
China
Prior art keywords
image
processing
resolution
real
mobile phone
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.)
Active
Application number
CN201910051660.5A
Other languages
Chinese (zh)
Other versions
CN109842759A (en
Inventor
周晓菲
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Shuidi Technology Group Co ltd
Original Assignee
Beijing Absolute Health Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Absolute Health Ltd filed Critical Beijing Absolute Health Ltd
Priority to CN201910051660.5A priority Critical patent/CN109842759B/en
Publication of CN109842759A publication Critical patent/CN109842759A/en
Application granted granted Critical
Publication of CN109842759B publication Critical patent/CN109842759B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Image Processing (AREA)

Abstract

The invention relates to a network service operation control platform, comprising: and the data combination equipment is respectively connected with the front camera of the mobile phone and the rear camera of the mobile phone and is used for receiving a first shot image from the front camera of the mobile phone and a second shot image from the rear camera of the mobile phone and splicing the first shot image and the second shot image to obtain a real-time spliced image. The network service operation control platform has clear logic and effective control. The number of terminal devices using the communication network around the mobile phone can be detected in real time, so that the situation of shortage of communication resources in the environment where the mobile phone is located is judged, services which are currently operated by the mobile phone with lower priority and are related to network data are closed in case of shortage, and the communication effect of main network services is guaranteed.

Description

Network service operation control platform
Technical Field
The invention relates to the field of communication services, in particular to a network service operation control platform.
Background
In the rapid development of modern scientific level, various communication modes such as radio, fixed telephone, mobile telephone, internet and even video telephone are developed successively. The communication technology draws the distance between people, improves the economic efficiency and profoundly changes the life style and social appearance of people.
Wired communication: the communication is characterized in that the medium can be seen and touched (open-wire communication, cable communication, optical fiber communication and optical fiber communication). Wireless communication: refers to a form of communication in which the transmission medium is invisible and untouchable (e.g., electromagnetic waves).
Disclosure of Invention
The invention aims to provide a network service operation control platform, which comprises: the data combination equipment is respectively connected with the front camera and the rear camera of the mobile phone and is used for receiving a first shot image from the front camera of the mobile phone and a second shot image from the rear camera of the mobile phone and splicing the first shot image and the second shot image to obtain a real-time spliced image; the parallel smoothing equipment is arranged in a mobile phone shell, is connected with the data combination equipment and is used for receiving the real-time spliced image, equally divides the real-time spliced image into blocks with corresponding block sizes on the basis of the distance between the definition grade of the real-time spliced image and the preset lower limit definition grade, selects corresponding smoothing processing with different strengths on the basis of the random noise size of each block to obtain smooth blocks, and merges the obtained smooth blocks to obtain a smooth merged image; in the parallel smoothing device, the larger the definition level of the real-time mosaic image is from a preset lower limit definition level, the larger the corresponding block into which the real-time mosaic image is divided on average, and in the parallel smoothing device, the larger the random noise of each block is, the larger the selected smoothing processing strength is; the definition improving device is connected with the parallel smoothing device and used for performing definition improving operation on the real-time spliced image before the parallel smoothing device performs smoothing processing on the real-time spliced image and when the definition level of the real-time spliced image is smaller than the preset lower limit definition level, replacing the real-time spliced image with the real-time spliced image after the definition improving operation and inputting the real-time spliced image into the parallel smoothing device, and when the definition level of the real-time spliced image is larger than or equal to the preset lower limit definition level, not performing the definition improving operation on the real-time spliced image; the MMC storage equipment is connected with the parallel smoothing equipment and is used for pre-storing the preset lower limit definition grade; and the data output device is connected with the parallel smoothing device and is used for receiving the smooth merged image, detecting each object in the smooth merged image to obtain each object area of each object in the smooth merged image, acquiring each object area in the smooth merged image, extracting the depth of field of each object in the smooth merged image, and outputting the object area corresponding to the object with the minimum depth of field as an area to be processed.
The invention needs to have the following three important points:
(1) when the number of terminals around the mobile phone is too many, the communication resource shortage of the environment where the mobile phone is located can be judged, and at the moment, the service which is currently operated by the mobile phone with lower priority and is related to the network data is closed, so that the communication data of the main network service is ensured to be smooth;
(2) carrying out gray resolution comparison of specific position image blocks on the Lena image with the gray resolution exceeding the limited amount and the image subjected to gray resolution improvement processing, and adaptively determining the times of carrying out subsequent multiple times of gray resolution improvement on the resolution improved image based on the multiple relation of the gray resolution so as to ensure the adjustment effect of the gray resolution of the image;
(3) and detecting each object in the image, and determining an object area with the minimum depth of field as a reference area for image signal processing, so as to select corresponding image processing mechanisms with different modes for different types of image contents.
The network service operation control platform has clear logic and effective control. The number of terminal devices using the communication network around the mobile phone can be detected in real time, so that the situation of shortage of communication resources in the environment where the mobile phone is located is judged, services which are currently operated by the mobile phone with lower priority and are related to network data are closed in case of shortage, and the communication effect of main network services is guaranteed.
Drawings
Fig. 1 is a configuration diagram of a rear camera used in a network service operation control platform according to the present invention.
Detailed Description
Traffic flow refers to the amount of traffic that two switching centers in a network travel to and from each other. Information data to be transferred between the two switching centers. Equal to the sum of traffic in both directions between the two switching centers. In the network, its size is independent of whether other switching centers are required to be transferred or not.
In the prior art, in any communication network, when the number of network receiving terminals in the communication environment is too many, data received by each network receiving terminal is affected by traffic, and the network service which is operated is not expanded in a serious case.
In order to overcome the defects, the invention provides a network service operation control platform which can effectively solve the corresponding technical problems,
The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Fig. 1 is a configuration diagram of a rear camera used in a network service operation control platform according to the present invention.
A web services operation control platform comprising:
the data combination equipment is respectively connected with the front camera and the rear camera of the mobile phone and is used for receiving a first shot image from the front camera of the mobile phone and a second shot image from the rear camera of the mobile phone and splicing the first shot image and the second shot image to obtain a real-time spliced image;
the parallel smoothing equipment is arranged in a mobile phone shell, is connected with the data combination equipment and is used for receiving the real-time spliced image, equally divides the real-time spliced image into blocks with corresponding block sizes on the basis of the distance between the definition grade of the real-time spliced image and the preset lower limit definition grade, selects corresponding smoothing processing with different strengths on the basis of the random noise size of each block to obtain smooth blocks, and merges the obtained smooth blocks to obtain a smooth merged image; in the parallel smoothing device, the larger the definition level of the real-time mosaic image is from a preset lower limit definition level, the larger the corresponding block into which the real-time mosaic image is divided on average, and in the parallel smoothing device, the larger the random noise of each block is, the larger the selected smoothing processing strength is;
the definition improving device is connected with the parallel smoothing device and used for performing definition improving operation on the real-time spliced image before the parallel smoothing device performs smoothing processing on the real-time spliced image and when the definition level of the real-time spliced image is smaller than the preset lower limit definition level, replacing the real-time spliced image with the real-time spliced image after the definition improving operation and inputting the real-time spliced image into the parallel smoothing device, and when the definition level of the real-time spliced image is larger than or equal to the preset lower limit definition level, not performing the definition improving operation on the real-time spliced image;
the MMC storage equipment is connected with the parallel smoothing equipment and is used for pre-storing the preset lower limit definition grade;
the data output device is connected with the parallel smoothing device and is used for receiving the smooth merged image, detecting each object in the smooth merged image to obtain each object area of each object in the smooth merged image, acquiring each object area in the smooth merged image, extracting the depth of field of each object in the smooth merged image, and outputting the object area corresponding to the object with the minimum depth of field as an area to be processed;
the pattern segmentation device is connected with the data output device and used for receiving the to-be-processed area and dividing the to-be-processed area into an object outline sub-area and an object content sub-area, wherein the object content sub-area is a residual pattern obtained after the object outline sub-area is segmented from the to-be-processed area;
the amplitude analysis device is connected with the pattern segmentation device and is used for determining the maximum value of each amplitude of each noise in the object outline subregion to be used as the outline noise maximum value and also used for determining the maximum value of each amplitude of each noise in the object content subregion to be used as the content noise maximum value;
the sequence processing device is respectively connected with the data output device and the amplitude analysis device, and is used for executing an image processing mode of firstly carrying out erosion expansion processing and then carrying out opening and closing processing on the smooth combined image to obtain and output an adaptive processing image when the maximum value of the contour noise is greater than the maximum value of the content noise, and is also used for executing an image processing mode of firstly carrying out opening and closing processing and then carrying out erosion expansion processing on the smooth combined image to obtain and output a sequence processing image when the maximum value of the contour noise is less than or equal to the maximum value of the content noise;
the histogram equalization equipment is connected with the sequential processing equipment and is used for receiving the sequential processing images and executing histogram equalization operation on the sequential processing images to obtain corresponding histogram equalization images;
the resolution adjusting device is connected with the histogram equalization device and is used for executing gray resolution improvement processing on the histogram equalization image to obtain a corresponding resolution improvement image and outputting the resolution improvement image;
a block extraction device connected to the resolution adjustment device, configured to perform image block processing of the same image block size on a lena image and the resolution-enhanced image, where a grayscale resolution exceeds a limited amount, to obtain respective image blocks of the lena image and respective blocks of the resolution-enhanced image, extract an image block at a middle position of the respective image blocks of the lena image as a first image block, and extract an image block at a middle position of the respective image blocks of the resolution-enhanced image as a second image block;
the signal trigger equipment is connected with the block extraction equipment and used for sending out a first trigger signal when the gray resolution of the second image block is greater than or equal to the gray resolution of the first image block and sending out a second trigger signal when the gray resolution of the second image block is smaller than the gray resolution of the first image block;
the subsequent processing device is connected with the signal triggering device and is used for dividing the gray resolution of the first image block by the gray resolution of the second image block to obtain a corresponding multiple when the second triggering signal is received, and determining the times of performing subsequent multiple times of gray resolution improvement on the resolution improved image based on the multiple to perform multiple times of gray resolution improvement processing on the resolution improved image to obtain a corresponding subsequent processing image;
the terminal identification device is connected with the subsequent processing device and used for identifying one or more terminal device targets in the subsequent processing image based on the imaging characteristics of the terminal device and outputting the number of the one or more terminal device targets as the field reference number;
the main controller is arranged in a shell of the mobile phone, is connected with the terminal identification equipment and is used for adjusting the number of services related to network data, which are currently operated by the mobile phone, based on the field reference number;
adjusting the number of services related to the network data currently operated by the mobile phone based on the field reference number comprises: the larger the number of the site references, the larger the number of services related to network data currently operated by the closed mobile phone.
Next, the specific structure of the web service operation control platform of the present invention will be further described.
In the network service operation control platform:
the larger the number of the field references, the larger the number of services related to network data currently operated by the closed mobile phone includes: and performing corresponding closing operation based on the priority of the service.
In the network service operation control platform:
and the subsequent processing device is further used for taking the resolution enhancement image as a subsequent processing image when the first trigger signal is received.
In the network service operation control platform:
the sequence processing equipment comprises a numerical value judging unit, a microcontroller, a corrosion expansion processing unit and an opening and closing processing unit.
In the network service operation control platform:
the microcontroller is a PAL logic control unit and is respectively connected with the numerical value judging unit, the corrosion expansion processing unit and the opening and closing processing unit.
In the network service operation control platform:
in the sequential processing apparatus, the numerical value determination unit is configured to perform numerical value size determination on the contour noise maximum value and the content noise maximum value.
In the network service operation control platform:
in the sequential processing apparatus, the corrosion expansion processing unit is connected to the opening/closing processing unit.
In the network service operation control platform:
the opening and closing processing unit performs opening-before-closing processing on the received image, and the erosion and expansion processing unit performs erosion-before-expansion processing on the received image.
In the network service operation control platform:
the corrosion expansion processing unit comprises an image corrosion unit and an image expansion unit, the image corrosion unit is connected with the image expansion unit, the opening and closing processing unit comprises an image opening processing unit and an image closing processing unit, and the image opening processing unit is connected with the image closing processing unit.
In addition, Programmable Array Logic (PAL) devices, which are introduced first by MMI corporation of America, are widely used due to the variety of output structures and flexible design. The basic structure of a PAL device feeds a programmable and array output product term to an or array, and the logic expression implemented by the PAL device has the form of a sum of products, and thus can describe any boolean transfer function. PAL devices are built internally of five basic types: (1) a basic array structure; (2) a programmable I/O structure; (3) a register output structure with feedback; (4) an exclusive or structure: (5) an arithmetic functional structure.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (7)

1. A web services operation control platform, comprising:
the data combination equipment is respectively connected with the front camera and the rear camera of the mobile phone and is used for receiving a first shot image from the front camera of the mobile phone and a second shot image from the rear camera of the mobile phone and splicing the first shot image and the second shot image to obtain a real-time spliced image;
the parallel smoothing equipment is arranged in a mobile phone shell, is connected with the data combination equipment and is used for receiving the real-time spliced image, equally divides the real-time spliced image into blocks with corresponding block sizes on the basis of the distance between the definition grade of the real-time spliced image and the preset lower limit definition grade, selects corresponding smoothing processing with different strengths on the basis of the random noise size of each block to obtain smooth blocks, and merges the obtained smooth blocks to obtain a smooth merged image; in the parallel smoothing device, the larger the definition level of the real-time mosaic image is from a preset lower limit definition level, the larger the corresponding block into which the real-time mosaic image is divided on average, and in the parallel smoothing device, the larger the random noise of each block is, the larger the selected smoothing processing strength is;
the definition improving device is connected with the parallel smoothing device and used for performing definition improving operation on the real-time spliced image before the parallel smoothing device performs smoothing processing on the real-time spliced image and when the definition level of the real-time spliced image is smaller than the preset lower limit definition level, replacing the real-time spliced image with the real-time spliced image after the definition improving operation and inputting the real-time spliced image into the parallel smoothing device, and when the definition level of the real-time spliced image is larger than or equal to the preset lower limit definition level, not performing the definition improving operation on the real-time spliced image;
the MMC storage equipment is connected with the parallel smoothing equipment and is used for pre-storing the preset lower limit definition grade;
the data output device is connected with the parallel smoothing device and is used for receiving the smooth merged image, detecting each object in the smooth merged image to obtain each object area of each object in the smooth merged image, acquiring each object area in the smooth merged image, extracting the depth of field of each object in the smooth merged image, and outputting the object area corresponding to the object with the minimum depth of field as an area to be processed;
the pattern segmentation device is connected with the data output device and used for receiving the to-be-processed area and dividing the to-be-processed area into an object outline sub-area and an object content sub-area, wherein the object content sub-area is a residual pattern obtained after the object outline sub-area is segmented from the to-be-processed area;
the amplitude analysis device is connected with the pattern segmentation device and is used for determining the maximum value of each amplitude of each noise in the object outline subregion to be used as the outline noise maximum value and also used for determining the maximum value of each amplitude of each noise in the object content subregion to be used as the content noise maximum value;
the sequence processing device is respectively connected with the data output device and the amplitude analysis device, and is used for executing an image processing mode of firstly carrying out erosion expansion processing and then carrying out opening and closing processing on the smooth combined image to obtain and output an adaptive processing image when the maximum value of the contour noise is greater than the maximum value of the content noise, and is also used for executing an image processing mode of firstly carrying out opening and closing processing and then carrying out erosion expansion processing on the smooth combined image to obtain and output a sequence processing image when the maximum value of the contour noise is less than or equal to the maximum value of the content noise;
the histogram equalization equipment is connected with the sequential processing equipment and is used for receiving the sequential processing images and executing histogram equalization operation on the sequential processing images to obtain corresponding histogram equalization images;
the resolution adjusting device is connected with the histogram equalization device and is used for executing gray resolution improvement processing on the histogram equalization image to obtain a corresponding resolution improvement image and outputting the resolution improvement image;
a block extraction device connected to the resolution adjustment device, configured to perform image block processing of the same image block size on a lena image and the resolution-enhanced image, where a grayscale resolution exceeds a limited amount, to obtain respective image blocks of the lena image and respective blocks of the resolution-enhanced image, extract an image block at a middle position of the respective image blocks of the lena image as a first image block, and extract an image block at a middle position of the respective image blocks of the resolution-enhanced image as a second image block;
the signal trigger equipment is connected with the block extraction equipment and used for sending out a first trigger signal when the gray resolution of the second image block is greater than or equal to the gray resolution of the first image block and sending out a second trigger signal when the gray resolution of the second image block is smaller than the gray resolution of the first image block;
the subsequent processing device is connected with the signal triggering device and is used for dividing the gray resolution of the first image block by the gray resolution of the second image block to obtain a corresponding multiple when the second triggering signal is received, and determining the times of performing subsequent multiple times of gray resolution improvement on the resolution improved image based on the multiple to perform multiple times of gray resolution improvement processing on the resolution improved image to obtain a corresponding subsequent processing image;
the terminal identification device is connected with the subsequent processing device and used for identifying one or more terminal device targets in the subsequent processing image based on the imaging characteristics of the terminal device and outputting the number of the one or more terminal device targets as the field reference number;
the main controller is arranged in a shell of the mobile phone, is connected with the terminal identification equipment and is used for adjusting the number of services related to network data, which are currently operated by the mobile phone, based on the field reference number;
adjusting the number of services related to the network data currently operated by the mobile phone based on the field reference number comprises: the larger the number of the site references, the larger the number of services related to network data currently operated by the closed mobile phone.
2. The web services operation control platform of claim 1, wherein:
the larger the number of the field references, the larger the number of services related to network data currently operated by the closed mobile phone includes: and performing corresponding closing operation based on the priority of the service.
3. The web services operation control platform of claim 2, wherein:
and the subsequent processing device is further used for taking the resolution enhancement image as a subsequent processing image when the first trigger signal is received.
4. The web services operation control platform of claim 3, wherein:
the sequence processing equipment comprises a numerical value judging unit, a microcontroller, a corrosion expansion processing unit and an opening and closing processing unit.
5. The web services operation control platform of claim 4, wherein:
the microcontroller is a PAL logic control unit and is respectively connected with the numerical value judging unit, the corrosion expansion processing unit and the opening and closing processing unit.
6. The web services operation control platform of claim 5, wherein:
in the sequential processing apparatus, the numerical value determination unit is configured to perform numerical value size determination on the contour noise maximum value and the content noise maximum value.
7. The web services operation control platform of claim 6, wherein:
in the sequential processing apparatus, the corrosion expansion processing unit is connected to the opening/closing processing unit.
CN201910051660.5A 2019-01-21 2019-01-21 Network service operation control platform Active CN109842759B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910051660.5A CN109842759B (en) 2019-01-21 2019-01-21 Network service operation control platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910051660.5A CN109842759B (en) 2019-01-21 2019-01-21 Network service operation control platform

Publications (2)

Publication Number Publication Date
CN109842759A CN109842759A (en) 2019-06-04
CN109842759B true CN109842759B (en) 2020-01-24

Family

ID=66883963

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910051660.5A Active CN109842759B (en) 2019-01-21 2019-01-21 Network service operation control platform

Country Status (1)

Country Link
CN (1) CN109842759B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110636576B (en) * 2019-09-03 2021-01-22 江苏令德仪网络科技有限公司 Automated wireless network selection platform
CN110650372B (en) * 2019-09-17 2020-07-24 浩德科技股份有限公司 Definition adjusting mechanism based on number of video terminals

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104065835A (en) * 2014-07-10 2014-09-24 深圳市中兴移动通信有限公司 Mobile terminal and power saving method and device thereof
CN107734615A (en) * 2014-06-30 2018-02-23 华为技术有限公司 The control method and mobile terminal of the antenna of mobile terminal
CN107968933A (en) * 2017-11-06 2018-04-27 戴惠英 A kind of wireless routing monitoring method
JP2018074483A (en) * 2016-11-01 2018-05-10 富士通株式会社 Power control program, power control method and power control device
CN109117756A (en) * 2018-07-25 2019-01-01 钱文浩 Degree of fighting computer analyzing method

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9204269B1 (en) * 2012-07-02 2015-12-01 CSC Holdings, LLC Method and system for service continuity, network preference, and reporting logic with SMS services
CN106878552A (en) * 2017-01-24 2017-06-20 努比亚技术有限公司 A kind of based reminding method and terminal
KR20180126198A (en) * 2017-05-17 2018-11-27 엘지전자 주식회사 Mobile terminal
CN107748679A (en) * 2017-09-28 2018-03-02 努比亚技术有限公司 A kind of run-limiting method, terminal and computer-readable recording medium
CN109152094B (en) * 2018-11-07 2021-10-22 上海尚往网络科技有限公司 Wireless network connection method for terminal

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107734615A (en) * 2014-06-30 2018-02-23 华为技术有限公司 The control method and mobile terminal of the antenna of mobile terminal
CN104065835A (en) * 2014-07-10 2014-09-24 深圳市中兴移动通信有限公司 Mobile terminal and power saving method and device thereof
JP2018074483A (en) * 2016-11-01 2018-05-10 富士通株式会社 Power control program, power control method and power control device
CN107968933A (en) * 2017-11-06 2018-04-27 戴惠英 A kind of wireless routing monitoring method
CN109117756A (en) * 2018-07-25 2019-01-01 钱文浩 Degree of fighting computer analyzing method

Also Published As

Publication number Publication date
CN109842759A (en) 2019-06-04

Similar Documents

Publication Publication Date Title
EP3611915A1 (en) Method and apparatus for image processing, and mobile terminal
CN107506687B (en) Living body detection method and related product
KR101486177B1 (en) Method and apparatus for providing hand detection
Barannik et al. Detections of sustainable areas for steganographic embedding
CN109842759B (en) Network service operation control platform
US20230014448A1 (en) Methods for handling occlusion in augmented reality applications using memory and device tracking and related apparatus
CN109640179A (en) Video frequency decoding control method, device and electronic equipment
CN112381183A (en) Target detection method and device, electronic equipment and storage medium
CN108765454A (en) A kind of smog detection method, device and device end based on video
CN110650544B (en) Network service operation control method
CN108508425A (en) Foreground target detection method based on neighborhood characteristics under a kind of radar near-earth ambient noise
CN110717864A (en) Image enhancement method and device, terminal equipment and computer readable medium
CN110503180A (en) Model treatment method, apparatus and electronic equipment
CN110503042B (en) Image processing method and device and electronic equipment
CN112686205A (en) Parameter updating method and device and multi-terminal network architecture
CN109120979A (en) Video source modeling control method, device and electronic equipment
Chung et al. Fast intra prediction method by adaptive number of candidate modes for RDO in HEVC
CN112581001B (en) Evaluation method and device of equipment, electronic equipment and readable storage medium
CN110766614A (en) Image preprocessing method and system of wireless scanning pen
WO2021175045A1 (en) Color enhancement method and related apparatus
CN115841437A (en) Image enhancement method, device and equipment
CN112329889A (en) Image processing method and device and electronic equipment
CN111444904A (en) Content identification method and device and electronic equipment
CN117689611B (en) Quality prediction network model generation method, image processing method and electronic equipment
NO20200708A1 (en) Method, computer program and system for detecting changes and moving objects in a video view

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
CB02 Change of applicant information
CB02 Change of applicant information

Address after: No.12, floor 7, building 1, No.25, South lantianchang Road, Haidian District, Beijing 100038

Applicant after: Zhou Xiaofei

Address before: 222006 No. 65 Renmin Road, Haizhou District, Lianyungang City, Jiangsu Province

Applicant before: Zhou Xiaofei

TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20191230

Address after: Room 4103, 101 / F, building 2, No. 208, Lize Zhongyuan, Chaoyang District, Beijing 100000

Applicant after: Beijing Health Home Technology Co.,Ltd.

Address before: No.12, floor 7, building 1, No.25, South lantianchang Road, Haidian District, Beijing 100038

Applicant before: Zhou Xiaofei

GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: 100102 201 / F, block C, 2 lizezhong 2nd Road, Chaoyang District, Beijing

Patentee after: Beijing Shuidi Technology Group Co.,Ltd.

Address before: Room 4103, 101 / F, building 2, 208 Lize Zhongyuan, Chaoyang District, Beijing

Patentee before: Beijing Health Home Technology Co.,Ltd.