CN111901525A - Multi-camera artificial intelligence image processing method - Google Patents
Multi-camera artificial intelligence image processing method Download PDFInfo
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- CN111901525A CN111901525A CN202010742054.0A CN202010742054A CN111901525A CN 111901525 A CN111901525 A CN 111901525A CN 202010742054 A CN202010742054 A CN 202010742054A CN 111901525 A CN111901525 A CN 111901525A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 14
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 17
- 238000000605 extraction Methods 0.000 claims abstract description 17
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 17
- 239000000284 extract Substances 0.000 claims abstract description 4
- 238000006243 chemical reaction Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000004891 communication Methods 0.000 claims description 3
- 238000000034 method Methods 0.000 claims 1
- 238000012545 processing Methods 0.000 abstract description 7
- 230000000694 effects Effects 0.000 abstract description 3
- 239000002131 composite material Substances 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000009877 rendering Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/95—Computational photography systems, e.g. light-field imaging systems
- H04N23/951—Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
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Abstract
The invention discloses a multi-camera artificial intelligence image processing method, which comprises the following steps: s1: a plurality of groups of pictures I acquired by the camera group module are received and stored by the storage module; s2: the extraction module extracts the copied image data in the storage module, generates a picture II through the primary synthesis module, and renders and enhances the definition of the picture II through the picture enhancement module to form a picture III; s3: the processor selects the clearest picture from a plurality of groups of pictures I, and marks the area corresponding to the mark II on the picture I through the marking module as the mark I; s4: and (4) extracting the local picture at the mark I through a secondary synthesis module, and covering the local picture at the mark II to form a picture IV. The invention can enhance the safety of picture storage; the picture I is synthesized and rendered twice, so that the picture processing effect is improved.
Description
Technical Field
The invention belongs to the technical field of image processing, and particularly relates to a multi-camera artificial intelligence image processing method.
Background
With the rapid development of computer technology and image processing technology, the multi-camera image stitching technology is widely applied, the image synthesis stitching generally renders a composite image through an algorithm, once the composite image has an unclear phenomenon, the clear image cannot be restored through the algorithm alone, the composite image with poor quality is easy to form, the subsequent use is not facilitated, and data loss is easy to cause when the image shot by a camera is stored.
Disclosure of Invention
The present invention aims to provide a multi-camera artificial intelligence image processing method to solve the problems proposed in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a multi-camera artificial intelligence image processing method comprises the following steps:
s1: a plurality of groups of pictures I acquired by the camera group module are received and stored by the storage module;
s2: the extraction module extracts the copied image data in the storage module, generates a picture II through the primary synthesis module, and renders and enhances the definition of the picture II through the picture enhancement module to form a picture III;
s3: the processor selects the clearest picture from a plurality of groups of pictures I, and marks the area corresponding to the mark II on the picture I through the marking module as the mark I;
s4: and (4) extracting the local picture at the mark I through a secondary synthesis module, and covering the local picture at the mark II to form a picture IV.
Preferably, the camera group module comprises a plurality of groups of cameras arranged at equal intervals, the output end of the camera group module is connected to the input end of the signal conversion module, and the output end of the signal conversion module is connected to the input end of the storage module.
Preferably, the signal conversion module is configured to convert the image acquired by the camera set module into a data type which can be stored by the storage module and processed by the processor.
Preferably, the storage module includes a storage unit for storing the picture data and a copy extraction unit, an output end of the storage unit is connected to an input end of the copy extraction unit, and an output end of the copy extraction unit is connected to an input end of the extraction module.
Preferably, the processor calls the data stored in the database, scans the picture IV through the scanning module, analyzes the scanned data through the analysis module, makes the scanned data and the data stored in the database be contrasted and analyzed one by one, and sends a qualified result to the intelligent terminal through the wireless communication module after the scanned data and the data stored in the database are qualified.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a multi-camera artificial intelligence image processing method, a plurality of groups of pictures I acquired by a camera group module are received and stored by a storage module, the storage module comprises a storage unit for storing picture data and a copying and extracting unit, so that the storage module can store the pictures I and can provide copying for subsequent processing, and the safety of storing the pictures is enhanced;
a picture II is generated through the first-stage synthesis module, the picture II is rendered and enhanced in definition through the picture enhancement module to form a picture III, so that primary synthesis and rendering of the picture I can be completed, and then the local picture at the mark I is extracted through the second-stage synthesis module and then covered on the local picture at the mark II to form a picture IV, so that secondary synthesis of the picture I can be completed, and the picture processing effect is improved.
Drawings
Fig. 1 is a schematic flow chart of a multi-camera artificial intelligence image processing method according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides a multi-camera artificial intelligence image processing method as shown in figure 1, which comprises the following steps:
s1: a plurality of groups of pictures I acquired by the camera group module are received and stored by the storage module;
s2: the extraction module extracts the copied image data in the storage module, generates a picture II through the primary synthesis module, and renders and enhances the definition of the picture II through the picture enhancement module to form a picture III;
s3: the processor selects the clearest picture from a plurality of groups of pictures I, and marks the area corresponding to the mark II on the picture I through the marking module as the mark I;
s4: and (4) extracting the local picture at the mark I through a secondary synthesis module, and covering the local picture at the mark II to form a picture IV.
Specifically, the camera group module comprises a plurality of groups of cameras arranged at equal intervals, the output end of the camera group module is connected to the input end of the signal conversion module, and the output end of the signal conversion module is connected to the input end of the storage module.
Specifically, the signal conversion module is used for converting the image acquired by the camera set module into a data type which can be stored by the storage module and processed by the processor.
Specifically, the storage module comprises a storage unit for storing picture data and a copy extraction unit, an output end of the storage unit is connected to an input end of the copy extraction unit, and an output end of the copy extraction unit is connected to an input end of the extraction module.
Specifically, the processor calls data stored in the database, scans a picture IV through the scanning module, analyzes the scanned data through the analysis module, performs one-to-one comparison analysis on the scanned data and the data stored in the database, and sends a qualified result to the intelligent terminal through the wireless communication module after the scanned data and the data stored in the database are qualified.
In summary, compared with the prior art, the camera group module of the present invention receives and stores a plurality of groups of pictures i acquired by the storage module, and the storage module includes a storage unit for storing picture data and a copy extraction unit, so that the storage module can store the pictures i and provide copies for subsequent processing, thereby enhancing the security of storing the pictures;
a picture II is generated through the first-stage synthesis module, the picture II is rendered and enhanced in definition through the picture enhancement module to form a picture III, so that primary synthesis and rendering of the picture I can be completed, and then the local picture at the mark I is extracted through the second-stage synthesis module and then covered on the local picture at the mark II to form a picture IV, so that secondary synthesis of the picture I can be completed, and the picture processing effect is improved.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.
Claims (5)
1. A multi-camera artificial intelligence image processing method is characterized by comprising the following steps: the method comprises the following steps:
s1: a plurality of groups of pictures I acquired by the camera group module are received and stored by the storage module;
s2: the extraction module extracts the copied image data in the storage module, generates a picture II through the primary synthesis module, and renders and enhances the definition of the picture II through the picture enhancement module to form a picture III;
s3: the processor selects the clearest picture from a plurality of groups of pictures I, and marks the area corresponding to the mark II on the picture I through the marking module as the mark I;
s4: and (4) extracting the local picture at the mark I through a secondary synthesis module, and covering the local picture at the mark II to form a picture IV.
2. The multi-camera artificial intelligence image processing method of claim 1, wherein: the camera group module comprises a plurality of groups of cameras arranged at equal intervals, the output end of the camera group module is connected to the input end of the signal conversion module, and the output end of the signal conversion module is connected to the input end of the storage module.
3. The multi-camera artificial intelligence image processing method of claim 2, wherein: the signal conversion module is used for converting the image acquired by the camera set module into a data type which can be stored by the storage module and processed by the processor.
4. The multi-camera artificial intelligence image processing method of claim 1, wherein: the storage module comprises a storage unit and a copy extraction unit, the storage unit is used for storing picture data, the output end of the storage unit is connected with the input end of the copy extraction unit, and the output end of the copy extraction unit is connected with the input end of the extraction module.
5. The multi-camera artificial intelligence image processing method of claim 1, wherein: the processor calls the data stored in the database, scans the picture IV through the scanning module, analyzes the scanned data through the analysis module, makes the scanned data and the data stored in the database be contrasted and analyzed one by one, and sends the qualified result to the intelligent terminal through the wireless communication module after the analysis is qualified.
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| CN202010742054.0A CN111901525A (en) | 2020-07-29 | 2020-07-29 | Multi-camera artificial intelligence image processing method |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106131450A (en) * | 2016-07-29 | 2016-11-16 | 努比亚技术有限公司 | A kind of method of image procossing, device and terminal |
| CN106454086A (en) * | 2016-09-30 | 2017-02-22 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
| CN109286758A (en) * | 2018-10-15 | 2019-01-29 | Oppo广东移动通信有限公司 | A kind of generation method of high dynamic range images, mobile terminal and storage medium |
| CN109559285A (en) * | 2018-10-26 | 2019-04-02 | 北京东软医疗设备有限公司 | A kind of image enhancement display methods and relevant apparatus |
| CN111402135A (en) * | 2020-03-17 | 2020-07-10 | Oppo广东移动通信有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
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2020
- 2020-07-29 CN CN202010742054.0A patent/CN111901525A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106131450A (en) * | 2016-07-29 | 2016-11-16 | 努比亚技术有限公司 | A kind of method of image procossing, device and terminal |
| CN106454086A (en) * | 2016-09-30 | 2017-02-22 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
| CN109286758A (en) * | 2018-10-15 | 2019-01-29 | Oppo广东移动通信有限公司 | A kind of generation method of high dynamic range images, mobile terminal and storage medium |
| CN109559285A (en) * | 2018-10-26 | 2019-04-02 | 北京东软医疗设备有限公司 | A kind of image enhancement display methods and relevant apparatus |
| CN111402135A (en) * | 2020-03-17 | 2020-07-10 | Oppo广东移动通信有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
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Application publication date: 20201106 |