CN108076284A - Camera shooting mode adjusts system - Google Patents
Camera shooting mode adjusts system Download PDFInfo
- Publication number
- CN108076284A CN108076284A CN201711123794.0A CN201711123794A CN108076284A CN 108076284 A CN108076284 A CN 108076284A CN 201711123794 A CN201711123794 A CN 201711123794A CN 108076284 A CN108076284 A CN 108076284A
- Authority
- CN
- China
- Prior art keywords
- image
- camera
- sharpening
- interpolation
- mode
- 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.)
- Pending
Links
- 230000003287 optical effect Effects 0.000 claims abstract description 19
- 230000003068 static effect Effects 0.000 claims abstract description 15
- 238000003384 imaging method Methods 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims abstract description 5
- 238000001914 filtration Methods 0.000 claims abstract description 5
- 238000012545 processing Methods 0.000 claims description 40
- 238000000034 method Methods 0.000 claims description 18
- 238000010586 diagram Methods 0.000 claims description 14
- 238000000605 extraction Methods 0.000 claims description 12
- 238000003707 image sharpening Methods 0.000 claims description 11
- 238000007405 data analysis Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 6
- 239000000203 mixture Substances 0.000 claims description 4
- HUTDUHSNJYTCAR-UHFFFAOYSA-N ancymidol Chemical group C1=CC(OC)=CC=C1C(O)(C=1C=NC=NC=1)C1CC1 HUTDUHSNJYTCAR-UHFFFAOYSA-N 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 2
- 238000005303 weighing Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000007781 pre-processing Methods 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000001788 irregular Effects 0.000 description 2
- 241000288673 Chiroptera Species 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 239000000839 emulsion Substances 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
- H04N23/60—Control of cameras or camera modules
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
-
- G06T5/73—
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/103—Static body considered as a whole, e.g. static pedestrian or occupant recognition
-
- 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
- H04N23/667—Camera operation mode switching, e.g. between still and video, sport and normal or high- and low-resolution modes
-
- 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
Abstract
The present invention relates to a kind of camera shooting modes to adjust system, including：Mode adjustment equipment is connected with the shutter of camera, and for the triggering rate based on the shutter to camera, the pattern of camera is switched between dynamic screening-mode and static screening-mode；Wherein, camera is under dynamic screening-mode, it is faster than camera to the triggering rate of the shutter of camera under static screening-mode to the triggering rate of the shutter of camera, for camera under dynamic screening-mode, the imaging resolution of camera is less than camera in the static triggering rate for shooting the shutter under model to camera；Blue color filter, for carrying out filtering operation to light before entering the optical lens in camera in light；Exposure detection device is detected in real time for the exposure to environment where camera.By means of the invention it is possible to improve the imaging effect of camera.
Description
Technical field
The present invention relates to camera field more particularly to a kind of camera shooting mode adjustment systems.
Background technology
Digital camera imaging process is as follows：
1st, focused on by camera lens light on CCD or CMOS；
2nd, CCD or CMOS convert the light to electric signal；
3rd, process, be recorded on the memory of camera through processor；
4th, by computer handle and display electro-optic conversion or through printer printing just form video.
The detailed process of imaging：Light enters camera from camera lens, and CCD carries out colour filter, photosensitive (photoelectric conversion), according to certain
Arrangement mode will shoot object " decomposition " into pixel one by one, these pixels are in the form of analog picture signal
It is transferred on " analog-digital converter ", is converted into digital signal, be transmitted on image processor, be processed into real image, afterwards
Compression storage is into storage medium.
For film camera, the reflection light of scenery passes through the convergence of camera lens, and latent Ying Ying is formed on film, this is latent
Shadow is that the emulsion on light and film generates the result chemically reacted.Image is formed using development and fixing processing.
Digital camera is to be focused on image on image-forming component CCD/CMOS by optical system, will by A/D converter
Photosignal is transformed into digital signal in each pixel, then is processed into digital image through DSP, stores among storage medium.
The content of the invention
Currently, camera is all to obtain imaging picture according to outdoor scene to the shooting of group photo, and since the personnel for participating in group photo are high
It is low irregular, thus the imaging picture obtained is ineffective.To solve the above-mentioned problems, the present invention provides a kind of bats of camera
Take the photograph mode adjustment system.
According to an aspect of the present invention, a kind of camera shooting mode adjustment system is provided, the system comprises：
Mode adjustment equipment is connected with the shutter of camera, for the triggering rate based on the shutter to camera, by camera
Pattern switches between dynamic screening-mode and static screening-mode；
Wherein, camera is faster than the triggering rate of the shutter of camera in camera and shoots mould in static state under dynamic screening-mode
To the triggering rate of the shutter of camera under formula；
For camera under dynamic screening-mode, the imaging resolution of camera is less than camera in the case where static state shoots model to camera
The triggering rate of shutter；
Blue color filter is arranged in front of the optical lens of camera, for light enter camera optical lens it
It is preceding that filtering operation is carried out to light；
Exposure detection device, be arranged on the rear of the optical lens of camera, camera cmos sensor front, be used for
The exposure of environment where camera is detected in real time；
Cmos sensor is arranged on the rear of the optical lens of camera, for carrying out image taking to camera front end, to obtain
Obtain the current front-end image of continuous multiframe on simultaneously output time；
Target identification equipment for receiving image, identifies the height of each human body target from described image, based on height
Position of each human body target in described image is ranked up, and is reapposed according to ordering structure each in described image
A human body target, to obtain and export image after sequence；
Display device is connected with the target identification equipment, for receiving image after sequence described in simultaneously real-time display.
It can be seen that the present invention at least possesses following important inventive point：
(1) using identifying the height of each human body target from image, based on height to each human body target in the picture
Position be ranked up, and each human body target in image is reapposed according to ordering structure, after obtaining and export sequence
Image meets the photograph demand of user；
(2) the image sharpening equipment of unconventional formula and various auxiliary pre-processing devices have been used, image has been improved and locates in advance
Effect is managed, improves the recognition efficiency of follow-up human body target.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram of the camera shooting mode adjustment system according to embodiment of the present invention.
Fig. 2 is the step flow chart of the camera shooting mode method of adjustment according to embodiment of the present invention.
Specific embodiment
The embodiment of the camera shooting mode adjustment system of the present invention is described in detail below with reference to accompanying drawings.
In order to overcome above-mentioned deficiency, the present invention has built a kind of camera shooting mode adjustment system, and specific embodiment is such as
Under.
Fig. 1 adjusts the block diagram of system, the system for the camera shooting mode according to embodiment of the present invention
System includes：
Mode adjustment equipment is connected with the shutter of camera, for the triggering rate based on the shutter to camera, by camera
Pattern switches between dynamic screening-mode and static screening-mode；
Wherein, camera is faster than the triggering rate of the shutter of camera in camera and shoots mould in static state under dynamic screening-mode
To the triggering rate of the shutter of camera under formula.
Then, continue that the concrete structure of the camera shooting mode adjustment system of the present invention is further detailed.
In the camera shooting mode adjustment system：
For camera under dynamic screening-mode, the imaging resolution of camera is less than camera in the case where static state shoots model to camera
The triggering rate of shutter.
It can also include in the camera shooting mode adjustment system：
Blue color filter is arranged in front of the optical lens of camera, for light enter camera optical lens it
It is preceding that filtering operation is carried out to light.
It can also include in the camera shooting mode adjustment system：
Exposure detection device, be arranged on the rear of the optical lens of camera, camera cmos sensor front, be used for
The exposure of environment where camera is detected in real time；
Cmos sensor is arranged on the rear of the optical lens of camera, for carrying out image taking to camera front end, to obtain
Obtain the current front-end image of continuous multiframe on simultaneously output time；
Image sharpening equipment is connected with the cmos sensor, the continuous current front end figure of multiframe in receiving time
Picture performs the current front-end image of each frame following processing：Based on the current default resolution ratio of front-end image resolution ratio distance
The current front-end image is averagely divided into each piecemeal of relevant block size by the distance of threshold value, to each piecemeal, is based on
The fog-level size of the piecemeal selects the image sharpening of corresponding varying strength to handle to obtain sharpening piecemeal, by each of acquisition
To obtain sharpening image, the current front-end image resolution ratio is got over apart from the default resolution threshold for a sharpening piecemeal splicing
Closely, the relevant block current front-end image being averagely divided into is bigger and to each piecemeal, the fog-level of the piecemeal
Bigger, the intensity of the image sharpening processing of selection is bigger；
GAMMA processing equipments sharpen equipment with described image and are connected, and continuous multiframe sharpens figure in receiving time
Picture matches with previous frame sharpening image current sharpening image to obtain image overall jitter value, whole based on described image
Body jitter value determines to carry out the current sharpening image image-region quantity of average segmentation, and described image overall jitter value is got over
Height, it is more to carry out the image-region quantity of average segmentation to the current sharpening image, and base is performed respectively to each image-region
In the GAMMA correction process of image-region contrast to obtain each processing region, image-region contrast is smaller, to image district
The GAMMA correction process intensity that domain performs is bigger, and each processing region is combined to obtain processed constitutional diagram picture；
Parameter extraction equipment is connected with the GAMMA processing equipments, for receiving the processed constitutional diagram picture, to institute
The extraction that processed constitutional diagram picture carries out the relevant characteristic quantity of interpolation processing is stated, the characteristic quantity after extraction is input to by inputting
In the Data Analysis Model of layer, output layer and multiple hidden layers composition, for successively to the characteristic quantity of input layer input into line number
According to analysis, output layer is connected with the last one hidden layer, for the result of the progress data analysis of the last one hidden layer is defeated
Go out, wherein, the output quantity type of output layer is interpolation processing type；
Adaptive-interpolation equipment is connected respectively with the GAMMA processing equipments and the parameter extraction equipment, for receiving
The interpolation processing type, and the interpolation operation based on the interpolation processing type is performed to the processed constitutional diagram picture, with
It obtains and exports image after interpolation；
Self-adapted white balance equipment is connected with the adaptive-interpolation equipment, for receiving image after the interpolation, to institute
Image performs self-adapted white balance processing after stating interpolation, to obtain and export white balance image；
Target identification equipment is connected with the self-adapted white balance equipment, for receiving the white balance image, from described
The height of each human body target is identified in white balance image, based on height to each human body target in the white balance image
Position is ranked up, and each human body target in the white balance image is reapposed according to ordering structure, with obtain and it is defeated
Go out image after sorting；
Display device is connected with the target identification equipment, for receiving image after sequence described in simultaneously real-time display.
And in the camera shooting mode adjustment system：
The interpolation processing type is arest neighbors interpolation type or bilinear interpolation type.
Fig. 2 is the step flow chart of camera shooting mode method of adjustment according to embodiment of the present invention, the side
Method includes：
Use pattern adjusting device is connected with the shutter of camera, for the triggering rate based on the shutter to camera, by phase
The pattern of machine switches between dynamic screening-mode and static screening-mode；
Wherein, camera is faster than the triggering rate of the shutter of camera in camera and shoots mould in static state under dynamic screening-mode
To the triggering rate of the shutter of camera under formula.
Then, continue that the specific steps of the camera shooting mode method of adjustment of the present invention are further detailed.
In the camera shooting mode method of adjustment：
For camera under dynamic screening-mode, the imaging resolution of camera is less than camera in the case where static state shoots model to camera
The triggering rate of shutter.
The camera shooting mode method of adjustment can also include：
It using blue color filter, is arranged in front of the optical lens of camera, for entering the optical frames in camera in light
Filtering operation is carried out to light before head.
The camera shooting mode method of adjustment can also include：
Using exposure detection device, be arranged on the rear of the optical lens of camera, camera cmos sensor front,
It is detected in real time for the exposure to environment where camera；
Using cmos sensor, the rear of the optical lens of camera is arranged on, for carrying out image taking to camera front end,
To obtain the current front-end image of continuous multiframe on simultaneously output time；
It using image sharpening equipment, is connected with the cmos sensor, before continuous multiframe is current in receiving time
Image is held, following processing is performed to the current front-end image of each frame：Based on current default point of the front-end image resolution ratio distance
The current front-end image is averagely divided into each piecemeal of relevant block size by the distance of resolution threshold value, to each piecemeal,
Fog-level size based on the piecemeal selects the image sharpening of corresponding varying strength to handle to obtain sharpening piecemeal, will obtain
Each sharpening piecemeal splice to obtain sharpening image, the current front-end image resolution ratio is apart from the default resolution threshold
Nearer, the relevant block that the current front-end image is averagely divided into is bigger and to each piecemeal, the fuzzy journey of the piecemeal
Degree is bigger, and the intensity of the image sharpening processing of selection is bigger；
Using GAMMA processing equipments, sharpen equipment with described image and be connected, continuous multiframe sharpens in receiving time
Image matches with previous frame sharpening image current sharpening image to obtain image overall jitter value, based on described image
Overall jitter value determines to carry out the current sharpening image image-region quantity of average segmentation, described image overall jitter value
Higher, it is more to carry out the image-region quantity of average segmentation to the current sharpening image, and each image-region is performed respectively
Based on the GAMMA correction process of image-region contrast to obtain each processing region, image-region contrast is smaller, to image
The GAMMA correction process intensity that region performs is bigger, and each processing region is combined to obtain processed constitutional diagram picture；
Using parameter extraction equipment, it is connected with the GAMMA processing equipments, for receiving the processed constitutional diagram picture,
The extraction of the relevant characteristic quantity of interpolation processing is carried out to the processed constitutional diagram picture, the characteristic quantity after extraction is input to by defeated
In the Data Analysis Model for entering layer, output layer and multiple hidden layers composition, for successively being carried out to the characteristic quantity of input layer input
Data analysis, output layer are connected with the last one hidden layer, for by the last one hidden layer progress data analysis result
Output, wherein, the output quantity type of output layer is interpolation processing type；
Using adaptive-interpolation equipment, it is connected, is used for the GAMMA processing equipments and the parameter extraction equipment respectively
The interpolation processing type is received, and the interpolation based on the interpolation processing type is performed to the processed constitutional diagram picture and is grasped
Make, to obtain and export image after interpolation；
Using self-adapted white balance equipment, it is connected with the adaptive-interpolation equipment, for receiving image after the interpolation,
Self-adapted white balance processing is performed to image after the interpolation, to obtain and export white balance image；
Using target identification equipment, it is connected with the self-adapted white balance equipment, for receiving the white balance image, from
The height of each human body target is identified in the white balance image, based on height to each human body target in the white balance image
In position be ranked up, and each human body target in the white balance image is reapposed according to ordering structure, to obtain
And export image after sequence；
It using display device, is connected with the target identification equipment, for receiving image after sequence described in simultaneously real-time display.
And in the camera shooting mode method of adjustment：
The interpolation processing type is arest neighbors interpolation type or bilinear interpolation type.
In addition, the cmos sensor is passive type element sensor, concrete operating principle is as follows.
Passive type element sensor (Passive Pixel Sensor, abbreviation PPS), is called passive type element sensor,
He is made of the photodiode and a switching tube of reverse bias.Photodiode is substantially one is partly led by p-type
The PN junction of body and N-type semiconductor composition, he can be equivalent to reverse bias diode and a mos capacitance parallel connection.When opening
When closing pipe unlatching, photodiode is connected with vertical alignment (Column bus).Charge integration positioned at alignment end amplifies
Device reading circuit (Charge integrating amplifier) holding column line voltage is a constant, when photodiode stores
Signal charge when being read, voltage is reset to column line voltage level, at the same time, the charge directly proportional to optical signal by
Charge integration amplifier is converted to charge output.
Camera shooting mode using the present invention adjusts system and method, for shoot in the prior art come photo people
The irregular technical problem of member's height, by using the height that each human body target is identified from image, based on height to each
The position of human body target in the picture is ranked up, and each human body target in image is reapposed according to ordering structure, with
Obtain and export sequence after image, the photograph demand for meeting user and the image sharpening equipment for also using unconventional formula with
And various auxiliary pre-processing devices, image preprocessing effect is improved, improves the recognition efficiency of follow-up human body target.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any those skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications are all made to technical solution of the present invention using the technology contents of the disclosure above or are revised as
With the equivalent embodiment of variation.Therefore, every content without departing from technical solution of the present invention, technical spirit pair according to the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the scope of technical solution of the present invention protection
It is interior.
Claims (5)
1. a kind of camera shooting mode adjusts system, which is characterized in that the system comprises：
Mode adjustment equipment is connected with the shutter of camera, for the triggering rate based on the shutter to camera, by the pattern of camera
Switch between dynamic screening-mode and static screening-mode；
Wherein, camera is faster than camera under static screening-mode under dynamic screening-mode to the triggering rate of the shutter of camera
To the triggering rate of the shutter of camera.
2. camera shooting mode as described in claim 1 adjusts system, it is characterised in that：
For camera under dynamic screening-mode, the imaging resolution of camera is less than camera under static shooting model to the shutter of camera
Triggering rate.
3. camera shooting mode as claimed in claim 2 adjusts system, which is characterized in that further includes：
Blue color filter is arranged in front of the optical lens of camera, for right before entering the optical lens in camera in light
Light carries out filtering operation.
4. camera shooting mode as claimed in claim 3 adjusts system, which is characterized in that further includes：
Exposure detection device, be arranged on the rear of the optical lens of camera, camera cmos sensor front, for phase
The exposure of environment is detected in real time where machine；
Cmos sensor is arranged on the rear of the optical lens of camera, for carrying out image taking to camera front end, to obtain simultaneously
The current front-end image of continuous multiframe on output time；
Image sharpening equipment is connected with the cmos sensor, and the current front-end image of continuous multiframe, right in receiving time
Each current front-end image of frame performs following processing：Based on the current default resolution threshold of front-end image resolution ratio distance
The current front-end image is averagely divided into each piecemeal of relevant block size by distance, to each piecemeal, based on the piecemeal
Fog-level size the image sharpening of corresponding varying strength is selected to handle to obtain sharpening piecemeal, by each sharpening of acquisition
Piecemeal splices to obtain sharpening image, and the current front-end image resolution ratio is nearer apart from the default resolution threshold, by institute
It is bigger and to each piecemeal to state relevant block that current front-end image is averagely divided into, the fog-level of the piecemeal is bigger, choosing
The intensity for the image sharpening processing selected is bigger；
GAMMA processing equipments sharpen equipment with described image and are connected, and continuous multiframe sharpening image, right in receiving time
Current sharpening image is matched to obtain image overall jitter value with previous frame sharpening image, based on described image overall jitter
The definite image-region quantity that average segmentation is carried out to the current sharpening image of value, described image overall jitter value is higher, right
The image-region quantity that the current sharpening image carries out average segmentation is more, and each image-region is performed respectively based on image
To obtain each processing region, image-region contrast is smaller for the GAMMA correction process of region contrast, and image-region is performed
GAMMA correction process intensity it is bigger, each processing region is combined to obtain processed constitutional diagram picture；
Parameter extraction equipment is connected with the GAMMA processing equipments, for receiving the processed constitutional diagram picture, to it is described
The extraction that constitutional diagram picture carries out the relevant characteristic quantity of interpolation processing is handled, the characteristic quantity after extraction is input to by input layer, defeated
Go out in the Data Analysis Model of layer and multiple hidden layers composition, for successively carrying out data point to the characteristic quantity of input layer input
Analysis, output layer are connected with the last one hidden layer, for the result of the progress data analysis of the last one hidden layer to be exported,
In, the output quantity type of output layer is interpolation processing type；
Adaptive-interpolation equipment is connected respectively with the GAMMA processing equipments and the parameter extraction equipment, described for receiving
Interpolation processing type, and the interpolation operation based on the interpolation processing type is performed to the processed constitutional diagram picture, to obtain
And export image after interpolation；
Self-adapted white balance equipment is connected with the adaptive-interpolation equipment, for receiving image after the interpolation, is inserted to described
Image performs self-adapted white balance processing after value, to obtain and export white balance image；
Target identification equipment is connected with the self-adapted white balance equipment, for receiving the white balance image, is put down in vain from described
The height of each human body target, the position based on height to each human body target in the white balance image are identified in weighing apparatus image
It is ranked up, and each human body target in the white balance image is reapposed according to ordering structure, to obtain and the row of output
Image after sequence；
Display device is connected with the target identification equipment, for receiving image after sequence described in simultaneously real-time display.
5. camera shooting mode as claimed in claim 4 adjusts system, it is characterised in that：
The interpolation processing type is arest neighbors interpolation type or bilinear interpolation type.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711123794.0A CN108076284A (en) | 2017-11-14 | 2017-11-14 | Camera shooting mode adjusts system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711123794.0A CN108076284A (en) | 2017-11-14 | 2017-11-14 | Camera shooting mode adjusts system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108076284A true CN108076284A (en) | 2018-05-25 |
Family
ID=62159693
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711123794.0A Pending CN108076284A (en) | 2017-11-14 | 2017-11-14 | Camera shooting mode adjusts system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108076284A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109767451A (en) * | 2019-01-16 | 2019-05-17 | 吴艳红 | Diagnostic data is highlighted system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101621630A (en) * | 2008-07-03 | 2010-01-06 | 鸿富锦精密工业（深圳）有限公司 | Automatic switching system and method of image sensing modes |
| CN204040533U (en) * | 2014-05-16 | 2014-12-24 | 戚凤凯 | To take pictures arrangement frame |
| CN104580930A (en) * | 2013-10-28 | 2015-04-29 | 腾讯科技（深圳）有限公司 | Group photo taking method and system |
| US20160224829A1 (en) * | 2015-02-04 | 2016-08-04 | UDP Technology Ltd. | People counter using tof camera and counting method thereof |
| CN106454062A (en) * | 2015-08-04 | 2017-02-22 | 纬创资通股份有限公司 | Electronic device and image processing method |
| CN106454143A (en) * | 2016-08-31 | 2017-02-22 | 周民 | Motion image shooting method and terminal |
| CN106603931A (en) * | 2017-02-27 | 2017-04-26 | 努比亚技术有限公司 | Binocular shooting method and device |
-
2017
- 2017-11-14 CN CN201711123794.0A patent/CN108076284A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101621630A (en) * | 2008-07-03 | 2010-01-06 | 鸿富锦精密工业（深圳）有限公司 | Automatic switching system and method of image sensing modes |
| CN104580930A (en) * | 2013-10-28 | 2015-04-29 | 腾讯科技（深圳）有限公司 | Group photo taking method and system |
| CN204040533U (en) * | 2014-05-16 | 2014-12-24 | 戚凤凯 | To take pictures arrangement frame |
| US20160224829A1 (en) * | 2015-02-04 | 2016-08-04 | UDP Technology Ltd. | People counter using tof camera and counting method thereof |
| CN106454062A (en) * | 2015-08-04 | 2017-02-22 | 纬创资通股份有限公司 | Electronic device and image processing method |
| CN106454143A (en) * | 2016-08-31 | 2017-02-22 | 周民 | Motion image shooting method and terminal |
| CN106603931A (en) * | 2017-02-27 | 2017-04-26 | 努比亚技术有限公司 | Binocular shooting method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109767451A (en) * | 2019-01-16 | 2019-05-17 | 吴艳红 | Diagnostic data is highlighted system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107770521B (en) | Camera shooting mode method of adjustment | |
| KR101155406B1 (en) | Image processing apparatus, image processing method and computer readable-medium | |
| EP3468178B1 (en) | Image defogging method and image capture apparatus implementing image defogging | |
| CN204697179U (en) | There is the imageing sensor of pel array | |
| JP6791336B2 (en) | Imaging device | |
| CN109196854B (en) | Imaging device, image processing device, and electronic apparatus | |
| CN108141531B (en) | Image pickup apparatus | |
| CN105306786A (en) | Image processing methods for image sensors with phase detection pixels | |
| CN101888487A (en) | High dynamic range video imaging system and image generating method | |
| CN103297701B (en) | Formation method and imaging device | |
| CN109196855A (en) | Photographic device, image processing apparatus and electronic equipment | |
| Wang et al. | Stereoscopic dark flash for low-light photography | |
| CN107370939A (en) | Focus detection device and its control method, picture pick-up device and computer-readable medium | |
| JP2022115944A (en) | Imaging apparatus | |
| CN108076284A (en) | Camera shooting mode adjusts system | |
| JP6941011B2 (en) | Imaging device and its control method, program, storage medium | |
| JP6758964B2 (en) | Control device, image pickup device, control method, program, and storage medium | |
| WO2017170726A1 (en) | Image pickup device and electronic apparatus | |
| JP7164579B2 (en) | Image sensors and electronic devices | |
| CN112669817B (en) | Language identification method and device and electronic equipment | |
| EP4319141A1 (en) | Imaging element and imaging device | |
| JP7005313B2 (en) | Imaging device and its control method, program, storage medium | |
| WO2017170725A1 (en) | Imaging device, imaging subject detection apparatus, and electronic device | |
| WO2017170724A1 (en) | Image pickup device, lens adjusting device, and electronic apparatus | |
| JPWO2017057293A1 (en) | Subject detection device and imaging device |
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 | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180525 |