CN107770521B - Camera shooting mode method of adjustment - Google Patents
Camera shooting mode method of adjustment Download PDFInfo
- Publication number
- CN107770521B CN107770521B CN201711125436.3A CN201711125436A CN107770521B CN 107770521 B CN107770521 B CN 107770521B CN 201711125436 A CN201711125436 A CN 201711125436A CN 107770521 B CN107770521 B CN 107770521B
- Authority
- CN
- China
- Prior art keywords
- image
- camera
- interpolation
- sharpening
- equipment
- 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
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
- H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/73—Circuitry for compensating brightness variation in the scene by influencing the exposure time
-
- 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
- H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
- H04N23/88—Camera processing pipelines; Components thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Studio Devices (AREA)
Abstract
The present invention relates to a kind of camera shooting mode method of adjustment, the method includes：Use pattern adjusting device is connect with the shutter of camera, is used for the triggering rate based on the shutter to camera, and the pattern of camera is switched between dynamic screening-mode and static screening-mode；Wherein, camera is faster than camera under static screening-mode to the triggering rate of the shutter of camera under dynamic screening-mode to the triggering rate of the shutter of camera.
Description
Technical field
The present invention relates to camera field more particularly to a kind of camera shooting mode methods of adjustment.
Background technology
Digital camera imaging process is as follows：
1, it is focused on CCD or CMOS by camera lens light；
2, CCD or CMOS convert the light to electric signal；
3, it processes, is recorded on the memory of camera through processor；
4, it by the electro-optic conversion of computer processing and display, or is printed through printer and just forms 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 " at 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, later
In compression storage to storage medium.
For film camera, the reflection light of scenery passes through the convergence of camera lens, and the Ying Ying that dives is formed on film, this is latent
Shadow is that the emulsion on light and film generates the result chemically reacted.It is formed image 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 in storage medium.
Invention content
Currently, camera is all to obtain imaging picture according to outdoor scene, and the personnel due to participating in taking a group photo are high to the shooting of group photo
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 adjusting method.
According to an aspect of the present invention, a kind of camera shooting mode method of adjustment is provided, the method includes：Use mould
Formula adjusting device is connect with the shutter of camera, is used for the triggering rate based on the shutter to camera, by the pattern of camera in dynamic
Switch between screening-mode and static screening-mode；Wherein, camera is under dynamic screening-mode, to the triggering speed of the shutter of camera
Rate is faster than camera under static screening-mode to the triggering rate of the shutter of camera.
Preferably, under dynamic screening-mode, the imaging resolution of camera is less than camera and is shot under model in static state camera
The imaging resolution of camera.
Preferably, further include：Using blue color filter, it is arranged in front of the optical lens of camera, for entering in light
Filtering operation is carried out to light before the optical lens of camera.
Preferably, further include：
Using exposure detection device, the front of the cmos sensor at the rear of the optical lens of camera, camera is set,
It is measured in real time for the exposure to environment where camera；
Using cmos sensor, it is arranged at the rear of the optical lens of camera, 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 connect with the cmos sensor, before continuously multiframe is current in receiving time
Image is held, following processing is executed to the current front-end image of each frame：Based on default point of the current 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
Closer, 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；
It using GAMMA processing equipments, sharpens equipment with described image and connect, sharpened for continuous multiframe in receiving time
Image matches to obtain image overall jitter value current sharpening image with previous frame sharpening image, is based on described image
Overall jitter value determines the image-region quantity that average segmentation is carried out to the current sharpening image, described image overall jitter value
Higher, the image-region quantity that average segmentation is carried out to the current sharpening image is more, is executed respectively to each image-region
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 executes is bigger, and each processing region is combined to obtain processed combination image；
Using parameter extraction equipment, it is connect with the GAMMA processing equipments, for receiving the processed combination image,
The extraction that the relevant characteristic quantity of interpolation processing is carried out to the processed combination image, 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 connect with the last one hidden layer, are used for the result of the progress data analysis of the last one hidden layer
Output, wherein the output quantity type of output layer is interpolation processing type；
Using adaptive-interpolation equipment, it connect, 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 executed to the processed combination image and is grasped
Make, to obtain and export image after interpolation；
Using self-adapted white balance equipment, it is connect with the adaptive-interpolation equipment, for receiving image after the interpolation,
Self-adapted white balance processing is executed to image after the interpolation, to obtain and export white balance image；
Using target identification equipment, it is connect 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 equipment, is connect with the target identification equipment, for image after sorting described in reception and real-time display.
Preferably, the interpolation processing type is arest neighbors interpolation type or bilinear interpolation type.
It can be seen that the present invention at least has 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, the recognition efficiency of follow-up human body target is improved.
Description of the drawings
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is the block diagram that system is adjusted according to the camera shooting mode shown in embodiment of the present invention.
Fig. 2 is the step flow chart according to the camera shooting mode method of adjustment shown in embodiment of the present invention.
Specific implementation mode
The embodiment of the camera shooting mode method of adjustment of the present invention is described in detail below with reference to accompanying drawings.
In order to overcome above-mentioned deficiency, the present invention to build a kind of camera shooting mode method of adjustment, specific embodiment is such as
Under.
Fig. 1 is the block diagram that system is adjusted according to the camera shooting mode shown in embodiment of the present invention, the system
System includes：
Mode adjustment equipment is connect with the shutter of camera, the triggering rate based on the shutter to camera is used for, by camera
Pattern switches between dynamic screening-mode and static screening-mode；
Wherein, camera is faster than camera to the triggering rate of the shutter of camera and shoots mould in static state under dynamic screening-mode
To the triggering rate of the shutter of camera under formula.
Then, the concrete structure for continuing to adjust the camera shooting mode of the present invention system is further detailed.
In the camera shooting mode adjustment system：
Camera under dynamic screening-mode, the imaging resolution of camera be less than camera it is static shoot camera under model at
As resolution ratio.
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.
Can also include in the camera shooting mode adjustment system：
Exposure detection device is arranged the front of the cmos sensor at the rear of the optical lens of camera, camera, is used for
The exposure of environment where camera is measured in real time；
Cmos sensor is arranged at 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 connect with the cmos sensor, for the current front end figure of continuous multiframe in receiving time
Picture executes following processing to the current front-end image of each frame：Resolution ratio is preset based on the current front-end image resolution ratio distance
The current front-end image is averagely divided into each piecemeal of relevant block size to be based on each piecemeal by the distance of threshold value
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 connect, and figure is sharpened for continuous multiframe in receiving time
Picture matches to obtain image overall jitter value current sharpening image with previous frame sharpening image, whole based on described image
Body jitter value determines that the image-region quantity that average segmentation is carried out to the current sharpening image, described image overall jitter value are got over
Height, the image-region quantity that average segmentation is carried out to the current sharpening image is more, and base is executed 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 executes is bigger, and each processing region is combined to obtain processed combination image；
Parameter extraction equipment is connect with the GAMMA processing equipments, for receiving the processed combination image, to institute
The extraction that processed combination image 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 connect 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 connect 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 executed to the processed combination image, with
It obtains and exports image after interpolation；
Self-adapted white balance equipment is connect with the adaptive-interpolation equipment, for receiving image after the interpolation, to institute
Image executes self-adapted white balance processing after stating interpolation, to obtain and export white balance image；
Target identification equipment is connect with the self-adapted white balance equipment, for receiving the white balance image, from described
The height that 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 reapposes each human body target in the white balance image according to ordering structure, with obtain and it is defeated
Go out image after sorting；
It shows equipment, is connect with the target identification equipment, for image after sorting described in reception and 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 according to the camera shooting mode method of adjustment shown in embodiment of the present invention, the side
Method includes：
Use pattern adjusting device is connect with the shutter of camera, the triggering rate based on the shutter to camera is used for, by phase
The pattern of machine switches between dynamic screening-mode and static screening-mode；
Wherein, camera is faster than camera to the triggering rate of the shutter of 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：
Camera under dynamic screening-mode, the imaging resolution of camera be less than camera it is static shoot camera under model at
As resolution ratio.
The camera shooting mode method of adjustment can also include：
Using blue color filter, it 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, the front of the cmos sensor at the rear of the optical lens of camera, camera is set,
It is measured in real time for the exposure to environment where camera；
Using cmos sensor, it is arranged at the rear of the optical lens of camera, 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 connect with the cmos sensor, before continuously multiframe is current in receiving time
Image is held, following processing is executed to the current front-end image of each frame：Based on default point of the current 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
Closer, 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；
It using GAMMA processing equipments, sharpens equipment with described image and connect, sharpened for continuous multiframe in receiving time
Image matches to obtain image overall jitter value current sharpening image with previous frame sharpening image, is based on described image
Overall jitter value determines the image-region quantity that average segmentation is carried out to the current sharpening image, described image overall jitter value
Higher, the image-region quantity that average segmentation is carried out to the current sharpening image is more, is executed respectively to each image-region
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 executes is bigger, and each processing region is combined to obtain processed combination image；
Using parameter extraction equipment, it is connect with the GAMMA processing equipments, for receiving the processed combination image,
The extraction that the relevant characteristic quantity of interpolation processing is carried out to the processed combination image, 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 connect with the last one hidden layer, are used for the result of the progress data analysis of the last one hidden layer
Output, wherein the output quantity type of output layer is interpolation processing type；
Using adaptive-interpolation equipment, it connect, 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 executed to the processed combination image and is grasped
Make, to obtain and export image after interpolation；
Using self-adapted white balance equipment, it is connect with the adaptive-interpolation equipment, for receiving image after the interpolation,
Self-adapted white balance processing is executed to image after the interpolation, to obtain and export white balance image；
Using target identification equipment, it is connect 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 equipment, is connect with the target identification equipment, for image after sorting described in reception and 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 of reverse bias and a switching tube.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 to 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 for identifying each human body target from image, based on height to each
The position of human body target in the picture is ranked up, and reapposes each human body target in image according to ordering structure, with
Obtain and export sequence after image, meet the photograph demand of user, and also use the image sharpening equipment of unconventional formula with
And various auxiliary pre-processing devices, image preprocessing effect is improved, the recognition efficiency of follow-up human body target is improved.
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 person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are 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 is right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (1)
1. a kind of camera shooting mode method of adjustment, which is characterized in that the method includes：
Use pattern adjusting device is connect with the shutter of camera, the triggering rate based on the shutter to camera is used for, by camera
Pattern switches 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；
For camera under dynamic screening-mode, the imaging resolution of camera is less than the imaging point of camera camera under static shooting model
Resolution；
Using blue color filter, be 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；
Using exposure detection device, the front of the cmos sensor at the rear of the optical lens of camera, camera is set, is used for
The exposure of environment where camera is measured in real time；
Using cmos sensor, it is arranged at 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；
It using image sharpening equipment, is connect with the cmos sensor, for the current front end figure of continuous multiframe in receiving time
Picture executes following processing to the current front-end image of each frame：Resolution ratio is preset based on the current front-end image resolution ratio distance
The current front-end image is averagely divided into each piecemeal of relevant block size to be based on each piecemeal by the distance of threshold value
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；
It using GAMMA processing equipments, sharpens equipment with described image and connect, figure is sharpened for continuous multiframe in receiving time
Picture matches to obtain image overall jitter value current sharpening image with previous frame sharpening image, whole based on described image
Body jitter value determines that the image-region quantity that average segmentation is carried out to the current sharpening image, described image overall jitter value are got over
Height, the image-region quantity that average segmentation is carried out to the current sharpening image is more, and base is executed 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 executes is bigger, and each processing region is combined to obtain processed combination image；
It using parameter extraction equipment, is connect with the GAMMA processing equipments, for receiving the processed combination image, to institute
The extraction that processed combination image 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 connect 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；
Using adaptive-interpolation equipment, it is connect 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 executed to the processed combination image, with
It obtains and exports image after interpolation；
It using self-adapted white balance equipment, is connect with the adaptive-interpolation equipment, for receiving image after the interpolation, to institute
Image executes self-adapted white balance processing after stating interpolation, to obtain and export white balance image；
It using target identification equipment, is connect with the self-adapted white balance equipment, for receiving the white balance image, from described
The height that 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 reapposes each human body target in the white balance image according to ordering structure, with obtain and it is defeated
Go out image after sorting；
It using display equipment, is connect with the target identification equipment, for image after sorting described in reception and real-time display；
The interpolation processing type is arest neighbors interpolation type or bilinear interpolation type.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711125436.3A CN107770521B (en) | 2017-11-14 | 2017-11-14 | Camera shooting mode method of adjustment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711125436.3A CN107770521B (en) | 2017-11-14 | 2017-11-14 | Camera shooting mode method of adjustment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107770521A CN107770521A (en) | 2018-03-06 |
| CN107770521B true CN107770521B (en) | 2018-09-28 |
Family
ID=61278146
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711125436.3A Active CN107770521B (en) | 2017-11-14 | 2017-11-14 | Camera shooting mode method of adjustment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107770521B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109915928B (en) * | 2018-07-12 | 2021-01-05 | 徐州荣华新型建材有限公司 | Double-radiator heating platform |
| CN109724137A (en) * | 2018-07-23 | 2019-05-07 | 永康市蜂蚁科技有限公司 | Multifunctional aluminium-copper composite heat supply pipe |
| CN109711238B (en) * | 2018-07-24 | 2020-11-20 | 台州市怡开包装有限公司 | Rat-proof intelligent cabinet |
| CN109907557A (en) * | 2018-07-25 | 2019-06-21 | 永康市柴迪贸易有限公司 | Solid wood cabinet for TV based on polypide identification |
| CN109300094B (en) * | 2018-12-05 | 2021-01-05 | 立影医疗科技(上海)有限公司 | Regional content processing mechanism |
| CN111445663B (en) * | 2019-01-16 | 2021-10-19 | 阜宁泰利泵业有限公司 | On-site safety alarm system |
| CN109767451A (en) * | 2019-01-16 | 2019-05-17 | 吴艳红 | Diagnostic data is highlighted system |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4634752B2 (en) * | 2004-07-09 | 2011-02-16 | Ｈｏｙａ株式会社 | Camera with image blur correction function |
| JP6576115B2 (en) * | 2015-06-17 | 2019-09-18 | キヤノン株式会社 | Imaging apparatus and control method thereof |
| TWI548275B (en) * | 2015-08-04 | 2016-09-01 | 緯創資通股份有限公司 | Electronic device and image processing method |
| CN106791380B (en) * | 2016-12-06 | 2020-04-21 | 周民 | Method and device for shooting dynamic photos |
-
2017
- 2017-11-14 CN CN201711125436.3A patent/CN107770521B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN107770521A (en) | 2018-03-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107770521B (en) | Camera shooting mode method of adjustment | |
| EP3468178B1 (en) | Image defogging method and image capture apparatus implementing image defogging | |
| Tocci et al. | A versatile HDR video production system | |
| CN108055452B (en) | Image processing method, device and equipment | |
| CN109196854B (en) | Imaging device, image processing device, and electronic apparatus | |
| JP6791336B2 (en) | Imaging device | |
| US9456195B1 (en) | Application programming interface for multi-aperture imaging systems | |
| KR20110025621A (en) | Image processing apparatus, image processing method and computer readable-medium | |
| CN107800965B (en) | Image processing method, device, computer readable storage medium and computer equipment | |
| CN103297701B (en) | Formation method and imaging device | |
| WO2016137239A1 (en) | Generating an improved depth map usinga multi-aperture imaging system | |
| CN107493432A (en) | Image processing method, device, mobile terminal and computer-readable recording medium | |
| CN105988215B (en) | Multispectral module imaging system and manufacturing method and application thereof | |
| CN108024054A (en) | Image processing method, device and equipment | |
| JP2017011634A (en) | Imaging device, control method for the same and program | |
| CN109196855A (en) | Photographic device, image processing apparatus and electronic equipment | |
| TW201813371A (en) | Ghost artifact removal system and method | |
| JP2014138290A (en) | Imaging device and imaging method | |
| CN104702854B (en) | The imaging system and correlation technique of the polymerization HDR of view data | |
| CN107465903B (en) | Image white balance method, device and computer readable storage medium | |
| CN107995396B (en) | Two camera modules and terminal | |
| JP5896680B2 (en) | Imaging apparatus, image processing apparatus, and image processing method | |
| JP5127628B2 (en) | Image processing apparatus and image processing method | |
| CN108076284A (en) | Camera shooting mode adjusts system | |
| JP6758964B2 (en) | Control device, image pickup device, control method, program, and storage medium |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20180810 Address after: 325799 Wenzhou, Dongtou, Zhejiang Province North Road, 1 Street, No. 1, electronic and Electrical Technology Park, A1 fifth, 515 rooms. Applicant after: Wenzhou city Dongtou North Ao Sheng Machinery Design Studio Address before: 215400 Luoyang Road, Taicang Economic Development Zone, Suzhou, Jiangsu 28 Applicant before: She Yidao |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20201211 Address after: 234000 yuan Lou, Dulou Town, Xiao County, Suzhou City, Anhui Province Patentee after: Anhui bright noodle Co.,Ltd. Address before: 325799 Wenzhou, Dongtou, Zhejiang Province North Road, 1 Street, No. 1, electronic and Electrical Technology Park, A1 fifth, 515 rooms. Patentee before: WENZHOU DONGTOU BEIAO SHENGLI MACHINERY DESIGN STUDIO |