CN107087107B - Image processing apparatus and method based on dual camera - Google Patents
Image processing apparatus and method based on dual camera Download PDFInfo
- Publication number
- CN107087107B CN107087107B CN201710312832.0A CN201710312832A CN107087107B CN 107087107 B CN107087107 B CN 107087107B CN 201710312832 A CN201710312832 A CN 201710312832A CN 107087107 B CN107087107 B CN 107087107B
- Authority
- CN
- China
- Prior art keywords
- image
- region
- camera
- specified target
- general image
- 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
Links
- 230000004927 fusion Effects 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 8
- 239000000945 filler Substances 0.000 claims description 6
- 230000001537 neural Effects 0.000 claims description 6
- 238000003672 processing method Methods 0.000 claims description 6
- 230000000875 corresponding Effects 0.000 claims description 3
- 230000001788 irregular Effects 0.000 claims 2
- 230000000694 effects Effects 0.000 abstract description 5
- 238000003384 imaging method Methods 0.000 abstract description 4
- 230000002708 enhancing Effects 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 238000002156 mixing Methods 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 210000003128 Head Anatomy 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000000465 moulding Methods 0.000 description 2
- 230000000295 complement Effects 0.000 description 1
- 230000001276 controlling effect Effects 0.000 description 1
- 238000011156 evaluation 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
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
- H04N5/225—Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
- H04N5/232—Devices for controlling television cameras, e.g. remote control ; Control of cameras comprising an electronic image sensor
- H04N5/23212—Focusing based on image signals provided by the electronic image sensor
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/222—Studio circuitry; Studio devices; Studio equipment ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
- H04N5/225—Television cameras ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
- H04N5/232—Devices for controlling television cameras, e.g. remote control ; Control of cameras comprising an electronic image sensor
- H04N5/23229—Devices for controlling television cameras, e.g. remote control ; Control of cameras comprising an electronic image sensor comprising further processing of the captured image without influencing the image pickup process
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 for shooting general image；The control module is for sending shooting instruction to the second camera；The second camera shoots topography according to the received shooting instruction, which is characterized in that the shooting instruction includes the photographing information of first camera and the image information of the general image.The present invention can be improved the imaging effect of localized target, enhance the details performance of entire image.
Description
Technical field
The present invention relates to digital image processing techniques field, in particular to a kind of image processing apparatus based on dual camera
And method.
Background technique
The world today, digital photography rapid development, more and more electronic equipments all have camera function, people's
Therefore Working Life becomes more happy convenient, meanwhile, everybody also increases accordingly in the requirement for shooting function.
Traditional camera arrangement mostly uses single camera to carry out photographing operation, since single camera is by focal length length, light
The limitation of size, shutter speed and Exposure Metering etc. is enclosed, style of shooting is single, and imaging effect is limited, is unable to satisfy high definition figure
The application demand of picture.
Have and taken the photograph using main camera and the double of secondary camera in the prior art for the defect for overcoming traditional shooting style
The photographing device designed as head.Its camera system utilizes difference of two cameras in the parameters such as focal length, aperture, and it is suitable to choose
One of camera shot, to improve the image quality of photographic device.But above-mentioned apparatus still has not in terms of image co-registration
Foot, complicated, the biggish image of the depth of field for picture, it is difficult to ensure that the clarity of image overall.
Summary 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 for shooting general image；The control module is for sending shooting instruction to institute
State second camera；The second camera is used to shoot topography according to the received shooting instruction, and wherein, institute
Stating shooting instruction includes the photographing information of first camera and the image information of the general image.
Preferably, the image information of the general image includes the location information of the specified target in the general image,
Wherein, the topography is associated with the specified target.
Preferably, the image information of the general image is the regional graphics comprising specified target in the general image
Information, wherein the topography is associated with the specified target.
Preferably, described image processing unit further includes the processing module of the information of the regional graphics for identification.
Preferably, the information of the regional graphics is the processing module using the image recognition based on deep neural network
The center location information of the regional graphics of algorithm detection.
Preferably, the processing module is also used to carry out image co-registration to the general image and the topography.
Preferably, the topography can be one or more.
According to another aspect of the present invention, a kind of image processing method based on dual camera is provided, comprising 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, detecting the general image includes:
The centre bit of the regional graphics comprising specified target in the general image is detected using algorithm of target detection
Set coordinate.
Preferably, above-mentioned image processing method further include: be fused to the general image and the topography completely
Image.
Compared with the existing technology, the present invention achieves following advantageous effects: provided by the invention to be based on dual camera
Image processing apparatus and method, the specified target in original image that camera 1 is shot by using algorithm of target detection
It is detected, and according to testing result and the camera site of camera 1 using camera 2 carries out secondary shooting to specified target,
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 caused by insufficient or focusing difference is bad, improves the imaging effect of specified target, enhances whole
The performance of width image detail.
Detailed description of the invention
Fig. 1 is the structural schematic diagram 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 image processing apparatus shown in FIG. 1.
Specific embodiment
In order to which the purpose of the present invention, technical solution and advantage is more clearly understood, below in conjunction with attached drawing, to according to this
The image processing apparatus and method further description based on dual camera provided in the embodiment of invention.
According to the length of focal length, camera lens is generally divided into wide-angle lens and telephoto lens.Under normal conditions, wide-angle lens visual angle
Wider, viewfinder range can be wider than the range of people's naked eyes in one's power, therefore is particularly suitable for whole shooting on a large scale；Phase therewith
Pair, telephoto lens is similar to telescope principle, is suitble to the inaccessible object of shooting, but its viewfinder range much compares people
The range of naked eyes in one's power wants small.
In order to solve the problems, such as wide-angle and focal length, you can't have both at the same time, inventor has found that wide-angle can be used
Camera lens shoots whole object, shoots localized target using telephoto lens, later by image processing method, the figure for shooting the two
As fusion, to obtain entire scope extensively and local clearly image.
Fig. 1 is structural schematic diagram according to an embodiment of the invention, as shown in Figure 1, a reality according to the present invention
Example is applied, a kind of image processing apparatus based on dual camera is provided, which includes camera 1, camera 2, control module, deposits
Store up module and processing module.Wherein, camera 1 is short focus wide-angle lens as the first camera, broad for shooting visual angle
General image；Camera 2 is telephoto lens as second camera, for shooting the local clear image of specified target；Control
Molding block is for controlling and dispatching according to user instructions each other modules；Memory module is used to store camera 1 and camera 2 is adopted
The image data of collection and relevant software program；Processing module is used for data operation and image procossing.
Fig. 2 is the method flow diagram that image procossing is carried out using image processing apparatus shown in FIG. 1, as shown in Fig. 2, according to
One embodiment of the present of invention provides a kind of image processing method based on dual camera, this method specifically includes the following steps:
S10, shooting general image 1.
It is 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 and take pictures.Wherein, photographing instruction 1 include camera position, focus point,
The acquisition parameters such as aperture size, these acquisition parameters can be the customized setting of user, be also possible to default automatic setting.
Camera 1 receives photographing instruction 1 from control module, into screening-mode.According to the acquisition parameters received, take the photograph
Photographing operation is completed after carrying out the adjustment such as focusing and aperture as first 1, obtain general image 1 and shooting can be sent to control module
The instruction of completion.To ensure that light-inletting quantity and the parameters such as clarity of general image 1 that camera 1 is shot touch the mark, can be used
Image processing algorithm sets index parameter.For example, light-inletting quantity can be by parameter evaluations such as brightness of image, exposures；Clarity can benefit
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 camera 1 is shot, general image 1 can be stored in storage mould by control module in the form of binary
Block, while recording photographing information of the camera 1 when shooting general image 1 (such as lens location, focusing position, aperture are big
Small, time for exposure, brightness of image, exposure etc.).
S20, specified Object selection.
After the completion of camera 1 is shot, user can choose specified target D in the general image 1 of acquisition.User specifies mesh
There are many target modes, for example, fixed area may be selected in user, the image in region is set as specified target D；Or according to target
Feature specified, the target with same type feature is set as to specified target D using image recognition algorithm, such as people
Face.
The target specified according to user, processing module can detect that this is specified from the general image 1 that camera 1 is shot
The location information (such as center position coordinates of the target) of target D, and the location information is sent to control module.Wherein,
Processing module can use algorithm of target detection and be detected.For example, the image algorithm based on pattern-recognition, or based on depth mind
Image recognition algorithm through network.It will be illustrated by taking the image recognition algorithm based on deep neural network as an example below.
S201, the general image 1 comprising specified target D is divided into n region, it is average using the gray scale in each region
Value calculates the similarity in each region region adjacent thereto, obtains the two-dimensional array being made of similarity numerical value；
S202, similarity maximum value and its two corresponding regions are found out from the two-dimensional array that step 201 obtains, and
By the two region merging techniques, combined region is denoted as m0；The similarity in remaining n-1 region is calculated, and most by similarity
Two high region merging techniques, repeat the above steps, until merging into the same region, obtain n-1 region (m0, m1……
mn-1)。
S203, n-1 region for obtaining step S202 are adjusted to the regional graphics A of pixel n*n, if the region is not advise
Then figure, the mode that filler pixels can be used make n*n size, wherein filler pixels value can be average for the area grayscale
Value；
S204, using deep neural network identification step S203 obtain regional graphics A kind whether include specified target D
Feature.For example, can set, if the area coincidence degree IOU of regional graphics A and specified target D is greater than 60%, the region is assert
Include the specified center point coordinate for identifying target and calculating regional graphics A in figure A.Above-mentioned registration IOU can be with is defined as:
IOU=SIt is overlapped/(SRegion A+SRegion D-SIt is overlapped)
Wherein, SIt is overlappedRepresent intersection area, SRegion ARepresent the area of regional graphics A, SRegion DRepresent the face of specified 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 obtains of step 20
The location information (such as center position coordinates) of D generates photographing instruction 2 and sends it to camera 2, wherein the finger of taking pictures
2 are enabled, for example, may include the acquisition parameters such as camera position, focus point, aperture size.In one embodiment, these shoot
Some in parameter can be the customized setting of user, and other can be control module according to the photographing information and described
The default that location information carries out is arranged automatically.
Camera 2 receives photographing instruction 2 from control module, into screening-mode.According to the acquisition parameters received, take the photograph
Photographing operation is completed after carrying out focusing and aperture adjustment as first 2, topography 2 of the acquisition comprising specified target D' simultaneously can be to control
Molding block sends the instruction that shooting is completed, wherein the general image 1 that specified target D' and step S10 in topography 2 are obtained
In specified target D be same target, but it is different in general image 1 and performance in topography 2.To ensure that camera 2 is clapped
The parameters such as the light-inletting quantity for the topography 2 taken the photograph and clarity touch the mark, and image processing algorithm setting index parameter can be used.Example
Such as, light-inletting quantity can be by parameter evaluations such as brightness of image, exposures；Clarity 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 camera 2 is shot, topography 2 is stored in memory module by control module in the form of binary,
Simultaneously image processing commands can be sent to processing module.
S40, image procossing is carried out to general image 1 and topography 2.
After processing module receives image processing commands, the entirety that camera 1 will be shot in the way of image procossing
The topography 2 that image 1 and camera 2 are shot is handled.Image procossing mode herein can be provided according to user demand
Multiple choices are illustrated by taking pixel-level image fusion as an example below.
The pixel-level image fusion refers to, the specified target D in general image 1 is replaced with specified in image 2
Target D' plucks out specified target D from general image 1, and the specified target D' in topography 2 is filled to overall diagram
As in 1, to obtain comprising the wide complete image of the specified target in clear part and visual angle.
Since the image parameter of the specified target D and specified target D' in topography 2 in general image 1 is different, because
And when carrying out image co-registration, it needs to make specified target D' removal partial pixel point to match overall diagram using Image Fusion
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, it is also necessary to optimize processing etc. to image mosaic edge to mention
High details performance.In the prior art, similar image procossing mode is too numerous to enumerate, and details are not described herein again.
In another embodiment of the invention, above-mentioned camera 1 and camera 2 can be for using Charged Couple (charge
Coupled device, CCD) formula photosensitive sensor, can also using metal oxide semiconductor material 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 dedicated
Graphic processing circuit, or the neural network processor based on deep learning.
In another embodiment of the invention, the storage unit can be memory, external hard disc and flash memory deposit card etc.
Storage medium.
In another embodiment of the invention, in the general image 1 that user can specify camera 1 to shoot 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 camera 1 capture comprising in the general image 1 including multiple specified targets, successively detection needs to shoot specified
Target D1, specified target D2, specified target D3 ..., and determine the location information of above-mentioned all specified targets.
According to above-mentioned steps S30, camera 2 receives the multiple shooting instructions sent from control module, to specified target D1,
Specified target D2, specified target D3 ... are shot respectively, obtain the topography 21 comprising specified target D1', comprising referring to
Set the goal D2' topography 22, comprising specify target D3' topography 23 ....
According to above-mentioned steps S40, by taking 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 for respectively in topography 21
Specified target D1', the specified target D2' in topography 22, the specified target D3' ... in topography 23, to obtain
Specify the wide complete image of target and visual angle comprising multiple clear parts.
In another embodiment of the invention, above-mentioned steps S40, sending image processing commands to processing module is that user can
Selection operation, i.e., when camera 1 and camera 2 respectively complete shooting and by the general image of shooting 1 and one or more Local maps
After picture is stored into memory module, the image procossing that user can according to demand without step S40, directly output image, or from
Several are chosen in multiple topographies executes 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
At before, when camera is found a view, the one or more specified target D for needing locally to shoot of selection are (for example, the hand in view-finder
The dynamic one or more specified target D of selection)；To make step S10-S30 or step S10-S40 device provided by the present invention
It is automatically performed, user will not even feel the delay time 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 field
Art personnel should be understood that focal length length herein is relative evaluation, that is, compare camera 1, camera 2 is telephoto lens, compared to taking the photograph
As head 2, camera 1 is short-focus lens.In addition, although 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
The image processing apparatus and method provided by the invention based on dual camera is realized, such as feature level image co-registration or decision level figure
As fusion.
Compared with the existing technology, in embodiments of the present invention provided by image processing apparatus based on dual camera and side
Method combines wide-angle camera with the advantages of focal length camera, by being believed using image of the image processing algorithm to shooting
Breath is analyzed, extracted and is merged, so that can be with complementary information, to improve the overall performance of image between multiple images.
Although the present invention has been described by means of preferred embodiments, the present invention is not limited to described here
Embodiment, without departing from the present invention further include made various changes and variation.
Claims (5)
1. a kind of image processing apparatus based on dual camera, including the first camera, second camera, control module and processing
Module, wherein first camera includes specified target D for shooting general image, the general image；The control mould
Block is for sending shooting instruction to the second camera；The second camera is used to clap according to the received shooting instruction
Topography is taken the photograph, the topography includes specified target D'；The processing module is used for the general image and the office
Portion's image carries out image co-registration, so that the specified target D' is substituted the specified target D, obtains comprising the specified target D'
New complete image；And wherein, photographing information of the shooting instruction comprising first camera and the general image
Image information；The specified target D and specified target D' is same target；
Wherein the image information of the general image is the information of the regional graphics comprising specified target D in the general image,
The information of the regional graphics is center location information of the processing module using the regional graphics of the following steps identification:
A1 it) by comprising specifying the general image 1 of target D to be divided into n region, using the average gray in each region, calculates
The similarity in each region region adjacent thereto obtains the two-dimensional array being made of similarity numerical value；
A2 similarity maximum value and its two corresponding regions) are found out from the two-dimensional array that step a1) is obtained, and by this two
Combined region is denoted as m by a region merging technique0；Calculate the similarity in remaining n-1 region, and by similarity highest two
A region merging technique, repeats the above steps, until merging into the same region, obtains n-1 region (m0,m1……mn-1)；
A3) n-1 region for obtaining step a2) is adjusted to the regional graphics A of pixel n*n, if the region is irregular figure,
The mode that filler pixels can be used makes n*n size, wherein filler pixels value can be the area grayscale average value；
A4) whether comprising specified target D in the regional graphics A obtained using deep neural network identification step a3), if administrative division map
The area coincidence degree IOU of shape A and specified target D is greater than the threshold value of setting, then assert in regional graphics A comprising the specified mesh
Mark, and the center point coordinate of regional graphics A is calculated, wherein above-mentioned registration IOU is defined as:
IOU=SIt is overlapped/(SRegion A+SRegion D-SIt is overlapped)
Wherein, SIt is overlappedRepresent intersection area, SRegion ARepresent the area of regional graphics A, SRegion DRepresent the area of specified target D.
2. image processing apparatus according to claim 1, which is characterized in that the processing module is also used to will be described specified
Target D' removes partial pixel point to match the general image.
3. image processing apparatus according to claim 1 or 2, which is characterized in that the topography can be one or
It is multiple.
4. a kind of image processing method based on dual camera, comprising the following steps:
General image is shot using the first camera, and records the photographing information of first camera, the general image packet
Include specified target D；
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, topography's packet are shot using second camera
Including specified target D', the specified target D and the specified target D' is same target；
The general image and the topography are subjected to image co-registration, the specified target D' is made to substitute the specified target
D obtains the new complete image comprising the specified target D'；
Wherein the image information of the general image is the information of the regional graphics comprising specified target D in the general image,
The information of the regional graphics is the center location information using the regional graphics of the following steps identification:
A1 it) by comprising specifying the general image 1 of target D to be divided into n region, using the average gray in each region, calculates
The similarity in each region region adjacent thereto obtains the two-dimensional array being made of similarity numerical value；
A2 similarity maximum value and its two corresponding regions) are found out from the two-dimensional array that step a1) is obtained, and by this two
Combined region is denoted as m by a region merging technique0；Calculate the similarity in remaining n-1 region, and by similarity highest two
A region merging technique, repeats the above steps, until merging into the same region, obtains n-1 region (m0,m1……mn-1)；
A3) n-1 region for obtaining step a2) is adjusted to the regional graphics A of pixel n*n, if the region is irregular figure,
The mode that filler pixels can be used makes n*n size, wherein filler pixels value can be the area grayscale average value；
A4) whether comprising specified target D in the regional graphics A obtained using deep neural network identification step a3), if administrative division map
The area coincidence degree IOU of shape A and specified target D is greater than the threshold value of setting, then assert in regional graphics A comprising the specified mesh
Mark, and the center point coordinate of regional graphics A is calculated, wherein above-mentioned registration IOU is defined as:
IOU=SIt is overlapped/(SRegion A+SRegion D-SIt is overlapped)
Wherein, SIt is overlappedRepresent intersection area, SRegion ARepresent the area of regional graphics A, SRegion DRepresent the area of specified target D.
5. image processing method according to claim 4, described image fusion further include:
Using Image Fusion by the specified target D' removal partial pixel point to match the general image, and to image
Splicing edge optimizes processing.
Priority Applications (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 |
Applications Claiming Priority (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 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107087107A CN107087107A (en) | 2017-08-22 |
| CN107087107B true 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) |
Families Citing this family (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN107749944A (en) * | 2017-09-22 | 2018-03-02 | 华勤通讯技术有限公司 | A kind of image pickup method and device |
| JP7043219B2 (en) * | 2017-10-26 | 2022-03-29 | キヤノン株式会社 | Image pickup device, control method of image pickup device, and program |
| 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 |
| CN110530889A (en) * | 2018-05-25 | 2019-12-03 | 上海翌视信息技术有限公司 | A kind of optical detecting method suitable for industrial production line |
| 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 |
| 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 |
| 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 |
| 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 |
| CN112954219A (en) * | 2019-03-18 | 2021-06-11 | 荣耀终端有限公司 | Multi-channel video recording method and equipment |
| CN110072058B (en) * | 2019-05-28 | 2021-05-25 | 珠海格力电器股份有限公司 | Image shooting device and 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 |
| 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 |
| CN110855883B (en) * | 2019-11-05 | 2021-07-20 | 浙江大华技术股份有限公司 | Image processing system, method, device equipment and storage medium |
| 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 |
| CN113592751A (en) * | 2021-06-24 | 2021-11-02 | 荣耀终端有限公司 | Image processing method and device and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| 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 |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100419783C (en) * | 2006-10-09 | 2008-09-17 | 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 |
| 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 |
| CN103247042B (en) * | 2013-05-24 | 2015-11-11 | 厦门大学 | A kind of image interfusion method based on similar piece |
| 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 |
| US11120478B2 (en) * | 2015-01-12 | 2021-09-14 | Ebay Inc. | Joint-based item recognition |
| US9860445B2 (en) * | 2015-06-15 | 2018-01-02 | Bendix Commercial Vehicle Systems Llc | Dual node composite image system architecture |
| CN106454121B (en) * | 2016-11-11 | 2020-02-07 | 努比亚技术有限公司 | Double-camera shooting method and device |
| 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 (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2018201809A1 (en) | 2018-11-08 |
| CN107087107A (en) | 2017-08-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107087107B (en) | Image processing apparatus and method based on dual camera | |
| US10997696B2 (en) | Image processing method, apparatus and device | |
| US10257502B2 (en) | Methods and apparatus for controlling light field capture | |
| US10269130B2 (en) | Methods and apparatus for control of light field capture object distance adjustment range via adjusting bending degree of sensor imaging zone | |
| US7868922B2 (en) | Foreground/background segmentation in digital images | |
| CN103384998B (en) | Imaging device and imaging method | |
| CN110248096B (en) | Focusing method and device, electronic equipment and computer readable storage medium | |
| US8885091B2 (en) | Imaging device and distance information detecting method | |
| KR20170106325A (en) | Method and apparatus for multiple technology depth map acquisition and fusion | |
| JP2020537382A (en) | Methods and equipment for dual camera-based imaging and storage media | |
| US8411159B2 (en) | Method of detecting specific object region and digital camera | |
| BR102012020775B1 (en) | image capture device, image processing device and image processing method for generating auxiliary information for the captured image | |
| CN110149482A (en) | Focusing method, device, electronic equipment and computer readable storage medium | |
| CN103067656B (en) | Camera head and image capture method | |
| JP2009188697A (en) | Multi-focus camera apparatus and image processing method and program used therein | |
| CN108076278A (en) | A kind of Atomatic focusing method, device and electronic equipment | |
| CN102196166A (en) | Imaging device and display method | |
| CN107133982A (en) | Depth map construction method, device and capture apparatus, terminal device | |
| CN106296574A (en) | 3-d photographs generates method and apparatus | |
| CN110248101A (en) | Focusing method and device, electronic equipment, computer readable storage medium | |
| JP2009047497A (en) | Stereoscopic imaging device, control method of stereoscopic imaging device, and program | |
| CN107566741A (en) | Focusing method, device, computer-readable recording medium and computer equipment | |
| CN103988107A (en) | Imaging device, method for controlling same, and program | |
| CN110278366B (en) | Panoramic image blurring method, terminal and computer readable storage medium | |
| US20130044212A1 (en) | Imaging device and distance information detecting method |
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 |