CN107087107A - Image processing apparatus and method based on dual camera - Google Patents
Image processing apparatus and method based on dual camera Download PDFInfo
- Publication number
- CN107087107A CN107087107A CN201710312832.0A CN201710312832A CN107087107A CN 107087107 A CN107087107 A CN 107087107A CN 201710312832 A CN201710312832 A CN 201710312832A CN 107087107 A CN107087107 A CN 107087107A
- Authority
- CN
- China
- Prior art keywords
- image
- camera
- information
- image processing
- topography
- 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.)
- Granted
Links
- 230000009977 dual effect Effects 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 title description 13
- 238000012876 topography Methods 0.000 claims abstract description 32
- 238000001514 detection method Methods 0.000 claims description 7
- 238000003672 processing method Methods 0.000 claims description 7
- 238000013528 artificial neural network Methods 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 5
- 238000003384 imaging method Methods 0.000 abstract description 4
- 230000002708 enhancing effect Effects 0.000 abstract 1
- 230000004927 fusion Effects 0.000 description 9
- 230000006870 function Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 4
- 238000002156 mixing Methods 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 239000000945 filler Substances 0.000 description 2
- 210000003128 head Anatomy 0.000 description 2
- 238000000465 moulding Methods 0.000 description 2
- 230000000295 complement effect Effects 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 229910044991 metal oxide Inorganic materials 0.000 description 1
- 150000004706 metal oxides Chemical class 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/90—Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/67—Focus control based on electronic image sensor signals
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Studio Devices (AREA)
- Image Processing (AREA)
Abstract
The present invention relates to a kind of image processing apparatus based on dual camera, including the first camera, second camera and control module, wherein, first camera is used to shoot general image;The control module, which is used to send, shoots instruction to the second camera;The second camera shoots topography according to the shooting instruction of reception, it is characterised in that photographing information of the shooting instruction comprising first camera and the image information of the general image.The present invention can improve the imaging effect of localized target, the details performance of enhancing entire image.
Description
Technical field
The present invention relates to digital image processing techniques field, more particularly to a kind of image processing apparatus based on dual camera
And method.
Background technology
The world today, digital photography is developed rapidly, and increasing electronic equipment all has camera function, people's
Therefore Working Life becomes more happy convenient, meanwhile, everybody also improves therewith for the requirement of shoot function.
Photographing operation is carried out using single camera more than traditional camera arrangement, because single camera is by focal length length, light
The limitation of size, shutter speed and Exposure Metering etc. is enclosed, its style of shooting is single, and imaging effect is limited, it is impossible to meet high definition figure
The application demand of picture.
To overcome the defect of traditional shooting style, in the prior art, taken the photograph using main camera and the double of secondary camera
The photographing device designed as head.Its camera system utilizes difference of two cameras in the parameters such as focal length, aperture, chooses suitable
One of camera shot, to improve the image quality of camera device.But said apparatus still has not in terms of image co-registration
Foot, for the image that picture is complicated, the depth of field is larger, it is difficult to ensure that the definition of image overall.
The content of the invention
The present invention provides a kind of image processing apparatus based on dual camera, including the first camera, second camera and
Control module, wherein, first camera is used to shoot general image;The control module, which is used to send, shoots instruction to institute
State second camera;The second camera is used to shoot topography according to the shooting instruction of reception, and wherein, institute
State the image information for shooting photographing information of the instruction comprising first camera and the general image.
It is preferred that, the image information of the general image includes the positional information of the specified target in the general image,
Wherein, the topography is associated with the specified target.
It is preferred that, the image information of the general image is comprising the regional graphics for specifying target in the general image
Information, wherein, the topography is associated with the specified target.
It is preferred that, described image processing unit also includes being used to recognize the processing module of the information of the regional graphics.
It is preferred that, the information of the regional graphics is that the processing module uses the image recognition based on deep neural network
The center location information of the regional graphics of algorithm detection.
It is preferred that, the processing module is additionally operable to carry out image co-registration to the general image and the topography.
It is preferred that, the topography can be one or more.
According to another aspect of the present invention there is provided a kind of image processing method based on dual camera, comprise the following steps:
General image is shot using the first camera, and records the photographing information of first camera;
The general image is detected to obtain the image information of the general image;And
According to the photographing information and described image information, topography is shot using second camera.
Wherein, detect that the general image includes:
The centre bit for including the regional graphics for specifying target in the general image is detected using algorithm of target detection
Put coordinate.
It is preferred that, above-mentioned image processing method also includes:The general image and the topography are fused to completely
Image.
Relative to prior art, the present invention achieves following advantageous effects:The present invention provide based on dual camera
Image processing apparatus and method, the specified target in the original image shot by using algorithm of target detection to camera 1
Detected, and secondary shooting carried out using the specified target of 2 pairs of camera according to the camera site of testing result and camera 1,
And handled original image and secondary shooting image by Image Fusion, because of partial exposure in the original image made up
The problems such as image imaging effect is not good caused by not enough or focusing difference, improves the imaging effect of specified target, enhances whole
Width image detail is showed.
Brief description of the drawings
Fig. 1 is the structural representation of image processing apparatus one embodiment according to the present invention.
Fig. 2 is the method flow diagram that image procossing is carried out using the image processing apparatus shown in Fig. 1.
Embodiment
In order that the purpose of the present invention, technical scheme and advantage are more clearly understood, below in conjunction with accompanying drawing, to according to this
The image processing apparatus based on dual camera and method provided in the embodiment of invention is further described.
According to the length of focal length, camera lens is generally divided into wide-angle lens and telephoto lens.Under normal circumstances, wide-angle lens visual angle
Wider, the scope that viewfinder range can be than people's naked eyes in one's power is wider, therefore is particularly suitable for overall on a large scale shoot;Phase therewith
To, telephoto lens is similar to telescope principle, is adapted to shoot inaccessible object, but its viewfinder range much compares people
The scope of naked eyes in one's power is small.
The problem of you can't have both at the same time in order to solve wide-angle and focal length, inventor has found that wide-angle can be used
Lens shooting whole object, localized target is shot using telephoto lens, afterwards by image processing method, the figure for shooting the two
As fusion, to obtain, entire scope is wide and local clearly image.
Fig. 1 is structural representation according to an embodiment of the invention, as shown in figure 1, according to the reality of the present invention
Example is applied there is provided a kind of image processing apparatus based on dual camera, the device includes camera 1, camera 2, control module, deposited
Store up module and processing module.Wherein, camera 1 be short focus wide-angle lens as the first camera, it is broad for shooting visual angle
General image;Camera 2 be telephoto lens as second camera, the local picture rich in detail for shooting specified target;Control
Molding block is used for according to user instruction control and dispatches each other modules;Memory module is used to store camera 1 and camera 2 is adopted
The view data of collection and the software program of correlation;Processing module is used for data operation and image procossing.
Fig. 2 is the method flow diagram that image procossing is carried out using the image processing apparatus shown in Fig. 1, as shown in Fig. 2 according to
One embodiment of the present of invention specifically includes following steps there is provided a kind of image processing method based on dual camera, this method:
S10, shooting general image 1.
Instructed according to the setting of user, control module adjusts the camera site of camera 1 according to instruction control motor, sends
Photographing instruction 1 arrives camera 1, and controls camera 1 to be taken pictures.Wherein, photographing instruction 1 include camera position, focusing,
The acquisition parameters such as aperture size, these acquisition parameters, which can be that User Defined is set or acquiescence is automatic, to be set.
Camera 1 receives photographing instruction 1 from control module, into screening-mode.According to the acquisition parameters received, take the photograph
As first 1 focused and the adjustment such as aperture after complete photographing operation, obtain general image 1 and shooting can be sent to control module
The instruction of completion.The parameters such as light-inletting quantity and definition to ensure the general image 1 that camera 1 is shot touch the mark, and can use
Image processing algorithm sets index parameter.For example, light-inletting quantity can be by parameter evaluations such as brightness of image, exposures;Definition can profit
The parameters such as image border width, edge peaks and rate of gray level are commented with gray variance function, entropy function and gradient function etc.
Estimate.
After the completion of the shooting of camera 1, general image 1 in binary form can be stored in storage mould by control module
Block, while recording photographing information of the camera 1 when shooting general image 1, (for example lens location, focusing position, aperture are big
Small, time for exposure, brightness of image, exposure etc.).
S20, specified Object selection.
After the completion of the shooting of camera 1, user can choose in the general image 1 of acquisition specifies target D.User specifies mesh
Target mode has a variety of, for example, FX may be selected in user, the image in region is set to specify target D;Or according to target
Feature specified, the target with same type feature is set to specify target D using image recognition algorithm, such as people
Face.
Detect that this is specified in the target specified according to user, the general image 1 that processing module can be shot from camera 1
Target D positional information (center position coordinates of such as target), and the positional information is sent to control module.Wherein,
Processing module can be detected using algorithm of target detection.For example, the image algorithm based on pattern-recognition, or based on depth god
Image recognition algorithm through network.It will be illustrated below by taking the image recognition algorithm based on deep neural network as an example.
S201, the general image 1 comprising specified target D is divided into n region, is averaged using the gray scale in each region
Value, calculates the similarity in each region region adjacent thereto, obtains the two-dimensional array being made up of similarity numerical value;
S202, from the two-dimensional array that step 201 is obtained find out similarity maximum and its two corresponding regions, and
By the two region merging techniques, the region of merging is designated as m0;The similarity in remaining n-1 region is calculated, and by similarity most
Two high region merging techniques, repeat the above steps, until merging into same region, obtain n-1 region (m0, m1……
mn-1)。
S203, the regional graphics A that the n-1 region that step S202 is obtained is adjusted to pixel n*n, if the region is does not advise
Then figure, can make n*n sizes by the way of filler pixels, wherein, filler pixels value can be averaged for the area grayscale
Value;
Whether S204, the regional graphics A kinds obtained using deep neural network identification step S203 are comprising specified target D's
Feature.For example, can set, if regional graphics A and specified target D area coincidence degree IOU is more than 60%, the region is assert
The specified center point coordinate for recognizing target and calculating regional graphics A is included in figure A.Above-mentioned registration IOU can be defined as:
IOU=SOverlap/(SRegion A+SRegion D-SOverlap)
Wherein, SOverlapRepresent intersection area, SRegion ARepresent regional graphics A area, SRegion DRepresent the face for specifying target D
Product.
S30, shooting topography 2.
Photographing information (such as mirror of the control module according to the camera 1 obtained in step S10 when shooting general image 1
Head position, focusing position, aperture size, time for exposure, brightness of image, exposure etc.), and the specified target that step 20 is obtained
D positional information (such as center position coordinates), generates photographing instruction 2 and sends it to camera 2, wherein, the finger of taking pictures
2 are made, for example, the acquisition parameters such as camera position, focusing, aperture size can be included.In one embodiment, these shoot
Some in parameter can be that User Defined is set, and other can be control module according to the photographing information and described
The acquiescence that positional information is carried out is set automatically.
Camera 2 receives photographing instruction 2 from control module, into screening-mode.According to the acquisition parameters received, take the photograph
As first 2 focused and aperture adjustment after complete photographing operation, obtain comprising specifying the target D' topography 2 simultaneously can be to control
Molding block sends the instruction for shooting and completing, wherein, the general image 1 that the specified target D' and step S10 in topography 2 is obtained
In specified target D be same target, it is but different with the performance in topography 2 in general image 1.To ensure that camera 2 is clapped
The parameters such as the light-inletting quantity and definition of the topography 2 taken the photograph touch the mark, and can set index parameter using image processing algorithm.Example
Such as, light-inletting quantity can be by parameter evaluations such as brightness of image, exposures;Definition can utilize gray variance function, entropy function and gradient
Function etc. is to parameter evaluations such as image border width, edge peaks and rate of gray level.
After the completion of the shooting of camera 2, topography 2 is stored in memory module by control module in binary form,
Image processing commands can be sent to processing module simultaneously.
S40, image procossing is carried out to general image 1 and topography 2.
Processing module is received after image processing commands, the entirety that will be shot using the mode of image procossing to camera 1
The topography 2 that image 1 and camera 2 are shot is handled.Image procossing mode herein can be provided according to user's request
Multiple choices, are illustrated by taking pixel-level image fusion as an example below.
Described pixel-level image fusion refers to, the specified target D in general image 1 is replaced with into specifying in image 2
Target D', will specify target D to be plucked out from general image 1, and the specified target D' in topography 2 is filled to overall diagram
In 1, so as to obtain comprising clear local specified target and the wide complete image in visual angle.
Because the specified target D in general image 1 is different with the image parameter of the specified target D' in topography 2, because
And when carrying out image co-registration, it is necessary to make to specify target D' to remove partial pixel point using Image Fusion to match overall diagram
As 1, for example, simple weighted blending algorithm, laplacian pyramid blending algorithm, contrast blending algorithm, gradient blending algorithm
Or Wavelet Fusion algorithm etc.;In addition, when carrying out image completion, in addition it is also necessary to optimize processing etc. to image mosaic edge to carry
High details performance.In the prior art, similar image procossing mode is too numerous to enumerate, and here is omitted.
In another embodiment of the invention, above-mentioned camera 1 and camera 2 can be using Charged Couple (charge
Coupled device, CCD) formula photosensitive sensor, it would however also be possible to employ metal oxide semiconductor material is used as photosensitive sensing
Device.
In another embodiment of the invention, camera 1 and camera 2 are in the same plane, and motor is respectively adopted
The mode of driving carries out focus operation.
In another embodiment of the invention, described control unit can be central processing unit, micro-control unit and can compile
Journey gate array etc..
In another embodiment of the invention, the processing unit can be digital signal processing unit, can also be special
Graphic processing circuit, or the neural network processor based on deep learning.
In another embodiment of the invention, the memory cell can be internal memory, external hard disc and flash memory deposit card etc.
Storage medium.
In another embodiment of the invention, user can specify in the general image 1 that camera 1 is shot according to demand
Multiple targets.
According to above-mentioned steps S20, when user specifies multiple targets, processing module utilizes algorithm of target detection, from above-mentioned
Step S10 cameras 1 capture include multiple specified targets including general image 1 in, successively detection need shoot specify
Target D1, specified target D2, specified target D3 ..., and determine the positional information of above-mentioned all specified targets.
According to above-mentioned steps S30, camera 2 receives the multiple shootings instruction sent from control module, to specify target D1,
Specify target D2, specify target D3 ... to be shot respectively, obtain the topography 21 comprising specified target D1', include finger
Set the goal D2' topography 22, the topography 23 ... that includes specified target D3'.
According to above-mentioned steps S40, so that image co-registration is handled as an example, processing module utilizes Image Fusion, by camera 1
Specified target D1, specified target D2, specified target D3 ... in the general image 1 of shooting are substituted in topography 21 respectively
Specified target D1', the specified target D2' in topography 22, the specified target D3' ... in topography 23, so as to obtain
Target and the wide complete image in visual angle must be specified comprising multiple clear parts.
In another embodiment of the invention, above-mentioned steps S40, it is that user can to send image processing commands to processing module
Selection operation, i.e., when camera 1 and camera 2 each complete to shoot and by the general image 1 and one or more Local maps of shooting
As being stored into after memory module, user can be according to demand without step S40 image procossing, direct output image, or from
Several are chosen in multiple topographies and performs step S40.
In another embodiment of the invention, above-mentioned steps S20, it is complete that user can also shoot general image 1 in camera 1
Into before, choosing the local specified target D shot of one or more needs when camera is found a view (for example, the hand in view-finder
The dynamic one or more specified target D of selection);So that step S10-S30 or step S10-S40 devices provided by the present invention
It is automatically performed, user will not even feel the time delay of shooting time difference and image procossing.
Although in the above-described embodiments, camera 1 is short-focus lens, camera 2 is telephoto lens, the common skill in this area
Art personnel should be understood that focal length length herein is relative evaluation, i.e., compared to camera 1, and camera 2 is telephoto lens, compared to taking the photograph
As first 2, camera 1 is short-focus lens.Although in addition, above-mentioned carry out general image and part by taking pixel-level image fusion as an example
The processing of image, but should be understood that in other embodiments can be using other image procossing modes by those of ordinary skill in the art
To realize image processing apparatus based on dual camera and method that the present invention provides, such as feature level image co-registration or decision level figure
As fusion.
The image processing apparatus based on dual camera provided in embodiments of the present invention relative to prior art and side
Method, wide-angle camera is combined with the advantage of focal length camera, and the image of shooting is believed by using image processing algorithm
Breath is analyzed, extracted and merged so that can be with complementary information, so as to improve the general performance of image between multiple images.
Although the present invention be described by means of preferred embodiments, but the present invention be not limited to it is described here
Embodiment, without departing from the present invention also include made various changes and change.
Claims (10)
1. a kind of image processing apparatus based on dual camera, including the first camera, second camera and control module, its
In, first camera is used to shoot general image;The control module, which is used to send, shoots instruction to the described second shooting
Head;The second camera is used to shoot topography according to the shooting instruction of reception, and wherein, it is described to shoot instruction
The image information of photographing information and the general image comprising first camera.
2. image processing apparatus according to claim 1, it is characterised in that the image information of the general image includes institute
The positional information of the specified target in general image is stated, wherein, the topography is associated with the specified target.
3. image processing apparatus according to claim 1, it is characterised in that the image information of the general image is described
The information for the regional graphics for specifying target is included in general image, wherein, the topography is associated with the specified target.
4. image processing apparatus according to claim 3, it is characterised in that described image processing unit also includes being used to know
The processing module of the information of not described regional graphics.
5. image processing apparatus according to claim 4, it is characterised in that the information of the regional graphics is the processing
The center location information for the regional graphics that module is detected using the image recognition algorithm based on deep neural network.
6. image processing apparatus according to claim 4, it is characterised in that the processing module is additionally operable to the entirety
Image and the topography carry out image co-registration.
7. image processing apparatus according to any one of claim 1 to 6, it is characterised in that the topography can be with
It is one or more.
8. a kind of image processing method based on dual camera, comprises the following steps:
General image is shot using the first camera, and records the photographing information of first camera;
The general image is detected to obtain the image information of the general image;And
According to the photographing information and described image information, topography is shot using second camera.
9. image processing method according to claim 8, wherein, detect that the general image includes:
Detect that the center comprising the regional graphics for specifying target in the general image is sat using algorithm of target detection
Mark.
10. image processing method according to claim 8, in addition to:
The general image and the topography are fused to complete image.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710312832.0A CN107087107B (en) | 2017-05-05 | 2017-05-05 | Image processing apparatus and method based on dual camera |
PCT/CN2018/079230 WO2018201809A1 (en) | 2017-05-05 | 2018-03-16 | Double cameras-based image processing device and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710312832.0A CN107087107B (en) | 2017-05-05 | 2017-05-05 | Image processing apparatus and method based on dual camera |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107087107A true CN107087107A (en) | 2017-08-22 |
CN107087107B CN107087107B (en) | 2019-11-29 |
Family
ID=59612636
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710312832.0A Active CN107087107B (en) | 2017-05-05 | 2017-05-05 | Image processing apparatus and method based on dual camera |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN107087107B (en) |
WO (1) | WO2018201809A1 (en) |
Cited By (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108377341A (en) * | 2018-05-14 | 2018-08-07 | Oppo广东移动通信有限公司 | Photographic method, device, terminal and storage medium |
WO2018201809A1 (en) * | 2017-05-05 | 2018-11-08 | 中国科学院计算技术研究所 | Double cameras-based image processing device and method |
CN108874142A (en) * | 2018-06-26 | 2018-11-23 | 哈尔滨拓博科技有限公司 | A kind of Wireless intelligent control device and its control method based on gesture |
CN108898171A (en) * | 2018-06-20 | 2018-11-27 | 深圳市易成自动驾驶技术有限公司 | Recognition processing method, system and computer readable storage medium |
CN108960109A (en) * | 2018-06-26 | 2018-12-07 | 哈尔滨拓博科技有限公司 | A kind of space gesture positioning device and localization method based on two monocular cams |
CN109348101A (en) * | 2018-10-17 | 2019-02-15 | 浙江舜宇光学有限公司 | Based on double filming apparatus for taking the photograph lens group and method |
CN109379522A (en) * | 2018-12-06 | 2019-02-22 | Oppo广东移动通信有限公司 | Imaging method, imaging device, electronic device and medium |
WO2019056527A1 (en) * | 2017-09-22 | 2019-03-28 | 华勤通讯技术有限公司 | Capturing method and device |
CN109547707A (en) * | 2018-12-05 | 2019-03-29 | 成都泰盟软件有限公司 | Signal acquisition control system with dual camera |
CN109580645A (en) * | 2018-12-20 | 2019-04-05 | 深圳灵图慧视科技有限公司 | Defects identification equipment |
CN109714524A (en) * | 2017-10-26 | 2019-05-03 | 佳能株式会社 | Photographic device, system, the control method of photographic device and storage medium |
CN110072070A (en) * | 2019-03-18 | 2019-07-30 | 华为技术有限公司 | A kind of multichannel kinescope method and equipment |
CN110072058A (en) * | 2019-05-28 | 2019-07-30 | 珠海格力电器股份有限公司 | Image capturing device, method and terminal |
CN110217271A (en) * | 2019-05-30 | 2019-09-10 | 成都希格玛光电科技有限公司 | Fast railway based on image vision invades limit identification monitoring system and method |
CN110430359A (en) * | 2019-07-31 | 2019-11-08 | 北京迈格威科技有限公司 | Shoot householder method, device, computer equipment and storage medium |
CN110430360A (en) * | 2019-08-01 | 2019-11-08 | 珠海格力电器股份有限公司 | A kind of panoramic picture image pickup method and device, storage medium |
CN110602355A (en) * | 2018-05-25 | 2019-12-20 | 上海翌视信息技术有限公司 | Image acquisition method |
WO2020037622A1 (en) * | 2018-08-23 | 2020-02-27 | 深圳配天智能技术研究院有限公司 | Acquisition method and acquisition device for super-resolution image, and image sensor |
CN110913131A (en) * | 2019-11-21 | 2020-03-24 | 维沃移动通信有限公司 | Moon shooting method and electronic equipment |
CN111050083A (en) * | 2019-12-31 | 2020-04-21 | 联想(北京)有限公司 | Electronic equipment and processing method |
WO2020124408A1 (en) * | 2018-12-19 | 2020-06-25 | 陈加志 | Astronomical observation device with multiple lenses and imaging method thereof |
CN112584034A (en) * | 2019-09-30 | 2021-03-30 | 虹软科技股份有限公司 | Image processing method, image processing device and electronic equipment applying same |
WO2021088821A1 (en) * | 2019-11-05 | 2021-05-14 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for image processing |
CN113592751A (en) * | 2021-06-24 | 2021-11-02 | 荣耀终端有限公司 | Image processing method and device and electronic equipment |
CN113923367A (en) * | 2021-11-24 | 2022-01-11 | 维沃移动通信有限公司 | Shooting method and shooting device |
WO2022267466A1 (en) * | 2021-06-24 | 2022-12-29 | 荣耀终端有限公司 | Image processing method and apparatus, and electronic device |
CN117245229A (en) * | 2023-11-20 | 2023-12-19 | 广东码清激光智能装备有限公司 | Full-automatic feeding and discharging marking machine and full-automatic marking method |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111311623A (en) * | 2020-02-26 | 2020-06-19 | 歌尔股份有限公司 | Image boundary method, device, equipment and storage medium |
CN111563552B (en) * | 2020-05-06 | 2023-09-05 | 浙江大华技术股份有限公司 | Image fusion method, related device and apparatus |
CN113506214B (en) * | 2021-05-24 | 2023-07-21 | 南京莱斯信息技术股份有限公司 | Multi-path video image stitching method |
CN116087201B (en) * | 2022-12-27 | 2023-09-05 | 广东尚菱视界科技有限公司 | Industrial vision detection system and detection method |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1932850A (en) * | 2006-10-09 | 2007-03-21 | 武汉大学 | Remoto sensing image space shape characteristics extracting and sorting method |
CN102113014A (en) * | 2008-07-31 | 2011-06-29 | 惠普开发有限公司 | Perceptual segmentation of images |
CN103247042A (en) * | 2013-05-24 | 2013-08-14 | 厦门大学 | Image fusion method based on similar blocks |
CN103780840A (en) * | 2014-01-21 | 2014-05-07 | 上海果壳电子有限公司 | High-quality imaging double camera shooting and imaging device and method thereof |
CN104052931A (en) * | 2014-06-27 | 2014-09-17 | 宇龙计算机通信科技(深圳)有限公司 | Image shooting device, method and terminal |
CN104333703A (en) * | 2014-11-28 | 2015-02-04 | 广东欧珀移动通信有限公司 | Method and terminal for photographing by virtue of two cameras |
CN105701762A (en) * | 2015-12-30 | 2016-06-22 | 联想(北京)有限公司 | Picture processing method and electronic equipment |
US20160203525A1 (en) * | 2015-01-12 | 2016-07-14 | Ebay Inc. | Joint-based item recognition |
CN106131449A (en) * | 2016-07-27 | 2016-11-16 | 维沃移动通信有限公司 | A kind of photographic method and mobile terminal |
US20160366336A1 (en) * | 2015-06-15 | 2016-12-15 | Bendix Commercial Vehicle Systems Llc | Dual node composite image system architecture |
CN106454121A (en) * | 2016-11-11 | 2017-02-22 | 努比亚技术有限公司 | Double-camera shooting method and device |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR101356269B1 (en) * | 2009-09-08 | 2014-01-29 | 주식회사 팬택 | Mobile terminal with dual camera and method for image processing using the same |
JP4787906B1 (en) * | 2010-03-30 | 2011-10-05 | 富士フイルム株式会社 | Imaging apparatus, method and program |
KR101916355B1 (en) * | 2013-12-06 | 2018-11-07 | 후아웨이 디바이스 (둥관) 컴퍼니 리미티드 | Photographing method of dual-lens device, and dual-lens device |
CN104935866B (en) * | 2014-03-19 | 2018-07-20 | 华为技术有限公司 | Realize method, synthesis device and the system of video conference |
CN107087107B (en) * | 2017-05-05 | 2019-11-29 | 中国科学院计算技术研究所 | Image processing apparatus and method based on dual camera |
-
2017
- 2017-05-05 CN CN201710312832.0A patent/CN107087107B/en active Active
-
2018
- 2018-03-16 WO PCT/CN2018/079230 patent/WO2018201809A1/en active Application Filing
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1932850A (en) * | 2006-10-09 | 2007-03-21 | 武汉大学 | Remoto sensing image space shape characteristics extracting and sorting method |
CN102113014A (en) * | 2008-07-31 | 2011-06-29 | 惠普开发有限公司 | Perceptual segmentation of images |
CN103247042A (en) * | 2013-05-24 | 2013-08-14 | 厦门大学 | Image fusion method based on similar blocks |
CN103780840A (en) * | 2014-01-21 | 2014-05-07 | 上海果壳电子有限公司 | High-quality imaging double camera shooting and imaging device and method thereof |
CN104052931A (en) * | 2014-06-27 | 2014-09-17 | 宇龙计算机通信科技(深圳)有限公司 | Image shooting device, method and terminal |
CN104333703A (en) * | 2014-11-28 | 2015-02-04 | 广东欧珀移动通信有限公司 | Method and terminal for photographing by virtue of two cameras |
US20160203525A1 (en) * | 2015-01-12 | 2016-07-14 | Ebay Inc. | Joint-based item recognition |
US20160366336A1 (en) * | 2015-06-15 | 2016-12-15 | Bendix Commercial Vehicle Systems Llc | Dual node composite image system architecture |
CN105701762A (en) * | 2015-12-30 | 2016-06-22 | 联想(北京)有限公司 | Picture processing method and electronic equipment |
CN106131449A (en) * | 2016-07-27 | 2016-11-16 | 维沃移动通信有限公司 | A kind of photographic method and mobile terminal |
CN106454121A (en) * | 2016-11-11 | 2017-02-22 | 努比亚技术有限公司 | Double-camera shooting method and device |
Cited By (41)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018201809A1 (en) * | 2017-05-05 | 2018-11-08 | 中国科学院计算技术研究所 | Double cameras-based image processing device and method |
WO2019056527A1 (en) * | 2017-09-22 | 2019-03-28 | 华勤通讯技术有限公司 | Capturing method and device |
US10931882B2 (en) | 2017-10-26 | 2021-02-23 | Canon Kabushiki Kaisha | Imaging device, control method of imaging device, and storage medium, with controlling of exposure levels of plurality of imaging units |
CN109714524B (en) * | 2017-10-26 | 2021-05-11 | 佳能株式会社 | Image pickup apparatus, system, control method of image pickup apparatus, and storage medium |
CN109714524A (en) * | 2017-10-26 | 2019-05-03 | 佳能株式会社 | Photographic device, system, the control method of photographic device and storage medium |
CN108377341A (en) * | 2018-05-14 | 2018-08-07 | Oppo广东移动通信有限公司 | Photographic method, device, terminal and storage medium |
CN110602355A (en) * | 2018-05-25 | 2019-12-20 | 上海翌视信息技术有限公司 | Image acquisition method |
CN108898171A (en) * | 2018-06-20 | 2018-11-27 | 深圳市易成自动驾驶技术有限公司 | Recognition processing method, system and computer readable storage medium |
CN108898171B (en) * | 2018-06-20 | 2022-07-22 | 深圳市易成自动驾驶技术有限公司 | Image recognition processing method, system and computer readable storage medium |
CN108960109B (en) * | 2018-06-26 | 2020-01-21 | 哈尔滨拓博科技有限公司 | Space gesture positioning device and method based on two monocular cameras |
CN108960109A (en) * | 2018-06-26 | 2018-12-07 | 哈尔滨拓博科技有限公司 | A kind of space gesture positioning device and localization method based on two monocular cams |
CN108874142A (en) * | 2018-06-26 | 2018-11-23 | 哈尔滨拓博科技有限公司 | A kind of Wireless intelligent control device and its control method based on gesture |
CN108874142B (en) * | 2018-06-26 | 2019-08-06 | 哈尔滨拓博科技有限公司 | A kind of Wireless intelligent control device and its control method based on gesture |
WO2020037622A1 (en) * | 2018-08-23 | 2020-02-27 | 深圳配天智能技术研究院有限公司 | Acquisition method and acquisition device for super-resolution image, and image sensor |
CN111630840A (en) * | 2018-08-23 | 2020-09-04 | 深圳配天智能技术研究院有限公司 | Super-resolution image acquisition method and device and image sensor |
CN109348101A (en) * | 2018-10-17 | 2019-02-15 | 浙江舜宇光学有限公司 | Based on double filming apparatus for taking the photograph lens group and method |
CN109547707A (en) * | 2018-12-05 | 2019-03-29 | 成都泰盟软件有限公司 | Signal acquisition control system with dual camera |
CN109379522A (en) * | 2018-12-06 | 2019-02-22 | Oppo广东移动通信有限公司 | Imaging method, imaging device, electronic device and medium |
WO2020124408A1 (en) * | 2018-12-19 | 2020-06-25 | 陈加志 | Astronomical observation device with multiple lenses and imaging method thereof |
CN109580645A (en) * | 2018-12-20 | 2019-04-05 | 深圳灵图慧视科技有限公司 | Defects identification equipment |
US11765463B2 (en) | 2019-03-18 | 2023-09-19 | Honor Device Co., Ltd. | Multi-channel video recording method and device |
CN110072070A (en) * | 2019-03-18 | 2019-07-30 | 华为技术有限公司 | A kind of multichannel kinescope method and equipment |
CN110072058A (en) * | 2019-05-28 | 2019-07-30 | 珠海格力电器股份有限公司 | Image capturing device, method and terminal |
CN110217271A (en) * | 2019-05-30 | 2019-09-10 | 成都希格玛光电科技有限公司 | Fast railway based on image vision invades limit identification monitoring system and method |
CN110430359A (en) * | 2019-07-31 | 2019-11-08 | 北京迈格威科技有限公司 | Shoot householder method, device, computer equipment and storage medium |
CN110430359B (en) * | 2019-07-31 | 2021-07-09 | 北京迈格威科技有限公司 | Shooting assistance method and device, computer equipment and storage medium |
CN110430360A (en) * | 2019-08-01 | 2019-11-08 | 珠海格力电器股份有限公司 | A kind of panoramic picture image pickup method and device, storage medium |
CN112584034A (en) * | 2019-09-30 | 2021-03-30 | 虹软科技股份有限公司 | Image processing method, image processing device and electronic equipment applying same |
CN112584034B (en) * | 2019-09-30 | 2023-04-07 | 虹软科技股份有限公司 | Image processing method, image processing device and electronic equipment applying same |
WO2021088821A1 (en) * | 2019-11-05 | 2021-05-14 | Zhejiang Dahua Technology Co., Ltd. | Systems and methods for image processing |
CN110913131A (en) * | 2019-11-21 | 2020-03-24 | 维沃移动通信有限公司 | Moon shooting method and electronic equipment |
CN110913131B (en) * | 2019-11-21 | 2021-05-11 | 维沃移动通信有限公司 | Moon shooting method and electronic equipment |
CN111050083B (en) * | 2019-12-31 | 2022-02-18 | 联想(北京)有限公司 | Electronic equipment and processing method |
CN111050083A (en) * | 2019-12-31 | 2020-04-21 | 联想(北京)有限公司 | Electronic equipment and processing method |
CN113592751A (en) * | 2021-06-24 | 2021-11-02 | 荣耀终端有限公司 | Image processing method and device and electronic equipment |
WO2022267466A1 (en) * | 2021-06-24 | 2022-12-29 | 荣耀终端有限公司 | Image processing method and apparatus, and electronic device |
CN113592751B (en) * | 2021-06-24 | 2024-05-07 | 荣耀终端有限公司 | Image processing method and device and electronic equipment |
CN113923367A (en) * | 2021-11-24 | 2022-01-11 | 维沃移动通信有限公司 | Shooting method and shooting device |
CN113923367B (en) * | 2021-11-24 | 2024-04-12 | 维沃移动通信有限公司 | Shooting method and shooting device |
CN117245229A (en) * | 2023-11-20 | 2023-12-19 | 广东码清激光智能装备有限公司 | Full-automatic feeding and discharging marking machine and full-automatic marking method |
CN117245229B (en) * | 2023-11-20 | 2024-03-08 | 广东码清激光智能装备有限公司 | Full-automatic feeding and discharging marking machine and full-automatic marking method |
Also Published As
Publication number | Publication date |
---|---|
WO2018201809A1 (en) | 2018-11-08 |
CN107087107B (en) | 2019-11-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107087107B (en) | Image processing apparatus and method based on dual camera | |
CN110248096B (en) | Focusing method and device, electronic equipment and computer readable storage medium | |
CN103384998B (en) | Imaging device and imaging method | |
CN101416219B (en) | Foreground/background segmentation in digital images | |
CN102957863B (en) | Picture pick-up device, image processing equipment and image processing method | |
CN100550986C (en) | Method and camera with a plurality of resolution | |
JP6347675B2 (en) | Image processing apparatus, imaging apparatus, image processing method, imaging method, and program | |
CN102843509B (en) | Image processing device and image processing method | |
CN108076278B (en) | Automatic focusing method and device and electronic equipment | |
CN110149482A (en) | Focusing method, device, electronic equipment and computer readable storage medium | |
US8885091B2 (en) | Imaging device and distance information detecting method | |
US20170324950A1 (en) | Methods and apparatus for controlling light field capture | |
JP5246078B2 (en) | Object location program and camera | |
CN103067656B (en) | Camera head and image capture method | |
CN108024058B (en) | Image blurs processing method, device, mobile terminal and storage medium | |
KR20120022512A (en) | Electronic camera, image processing apparatus, and image processing method | |
CN103261939A (en) | Image capture device and primary photographic subject recognition method | |
CN106998413A (en) | Image processing equipment, picture pick-up device and image processing method | |
CN107566741A (en) | Focusing method, device, computer-readable recording medium and computer equipment | |
CN102196166A (en) | Imaging device and display method | |
CN105430268A (en) | Automatic focusing processing method and device | |
CN112261292B (en) | Image acquisition method, terminal, chip and storage medium | |
KR20230110618A (en) | Image correction method, device and system, electronic device | |
CN110278366B (en) | Panoramic image blurring method, terminal and computer readable storage medium | |
US20230328400A1 (en) | Auxiliary focusing method, apparatus, and system |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |