CN108881708A - A kind of intelligent image processing unit - Google Patents
A kind of intelligent image processing unit Download PDFInfo
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- CN108881708A CN108881708A CN201711360035.6A CN201711360035A CN108881708A CN 108881708 A CN108881708 A CN 108881708A CN 201711360035 A CN201711360035 A CN 201711360035A CN 108881708 A CN108881708 A CN 108881708A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/73—Colour balance circuits, e.g. white balance circuits or colour temperature control
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Abstract
A kind of intelligent image processing unit, it is characterised in that：Described device includes image acquisition units, image receiving unit, image classification unit, learning training unit, storage unit, picture quality adjusting unit, image processing unit, display unit, and compared with prior art, beneficial effects of the present invention are：The present invention carries out quality adjustment by the image data taken pictures under scene to difference automatically, reduces artificial participation link, improves picture quality and adjust efficiency；The present invention can also preferably adjust the degree of balance of image and the bright degree of image by realizing in color balance adjustment circuit, increase the efficiency of image procossing.
Description
Technical field
The invention belongs to technical field of image processing, and in particular to a kind of intelligent image processing unit.
Background technique
The main function of ISP (Image Signal Processor, image procossing) is exported to front-end image sensor
Signal do post-processing, the linear correction of major function, noise remove, bad point removal, interpolation, white balance, automatic exposure control
System etc., can could preferably restore live details dependent on ISP under different optical conditions.
Picture quality adjusting is a link in ISP, currently, existing picture quality adjusting method is human configuration,
It does the parameter adjustment setting of image one by one to image photographic scene, and image matter is carried out to image according to image parameter adjusted
Amount is adjusted, and the shortcomings that such mode is：Intelligent insufficient, subjective factor is big, existing image processing equipment, needs manually to join
With human factor is higher, needs manually to carry out different parameter configurations according to different image photographic scenes, leads to whole flow process
Longer, operating process is complicated, is easy error.
Also, in some display devices, image processing apparatus is particularly significant to the processing of image, the readability of image
Directly affect last as a result, still the structure and function of current image processing apparatus is relatively simple, the efficiency of image procossing
It is not very high with quality.
Summary of the invention
To solve the problems in above-mentioned background technique, the present invention provides a kind of intelligent image processing units, with realization pair
Various types of image datas carry out quality adjustment automatically, and solve the knot of image processing apparatus mentioned above in the background art
Structure and function are relatively simple, the rate of image procossing and problem of low quality.
The technical scheme is that：
A kind of intelligent image processing unit, it is characterised in that：Described device includes image acquisition units, image reception list
Member, image classification unit, learning training unit, storage unit, picture quality adjust unit, image processing unit, display unit；
Described image acquisition unit signal is connected to image receiving unit, and described image receiving unit signal is connected to image classification list
Member, described image taxon signal are connected to learning training unit, and the learning training cell signal is connected to picture quality
Unit is adjusted, described image quality adjustment cell signal is connected to image processing unit, the connection of described image processing unit signal
In the display unit, described image acquisition unit, image classification unit are electrical connected with storage unit.
Further, described image acquisition unit will be acquired for collecting the image data in various image photographic scenes
Image data be stored in storage unit, and send it to image receiving unit；
Described image receiving unit believes image for receiving the image information sended over from image acquisition units
Breath is sent to image classification unit；
The storage unit is for storing image, so as to the inquiry in later period.
Further, described image taxon, for setting various image classification factors, according in various classification factors
One or more factors classification is combined to the image data stored in storage unit；
Further, the learning training unit, the typical image data of the image data for extracting various classification,
Using typical image data as training set, feature extraction is carried out to training set, the corresponding parameter value of each feature is set, utilizes machine
Device learning algorithm finally trains the quality adjustor of image data.
Further, described image quality adjustment unit, for using classification belonging to image data to be processed corresponding
Various features feature extraction is carried out to image data to be processed, it is corresponding according to classification belonging to image data to be processed
The corresponding optimal value of the parameter of various features carries out adjustment of features to image data to be processed, and successive optimization image configurations obtain
Quality adjustment treated image data realizes that image configurations optimize.
Further, described image processing unit, for handling the image sended over, and it is single to be sent to display
Member is shown.
Further, the display unit, for showing processing image processing unit treated image.
Further, the inside of described image processing unit is equipped with color balance adjustment circuit, gamma adjustment circuit, color
Gain circuitry, display processing circuit, the color balance adjustment circuit are adjusted the color and form and aspect of image, then will place
The data managed pass in gamma adjustment circuit, and gamma adjustment circuit is to image making frequency adjustment, finally by image data
It passes in color gain circuit, gain process is carried out to image, by showing that processing circuit shows processing on the display unit.
Compared with prior art, beneficial effects of the present invention are：
The present invention carries out quality adjustment by the image data taken pictures under scene to difference automatically, reduces artificial participation ring
Section improves picture quality and adjusts efficiency.The present invention can also preferably adjust image by realizing in color balance adjustment circuit
The bright degree of the degree of balance and image increases the efficiency of image procossing.
Detailed description of the invention
Fig. 1 is a kind of structural schematic diagram for intelligent image processing unit that the present invention passes through.
Specific embodiment
The present invention will be further described below with reference to the drawings, intelligent image processing unit of the present invention, is suitable for intelligence
Electronic equipment, including：Image acquisition units, image receiving unit, image classification unit, learning training unit, storage unit, figure
As quality adjustment unit, image processing unit, display unit.
Described image acquisition unit signal is connected to image receiving unit, and described image receiving unit signal is connected to image
Taxon, described image taxon signal are connected to learning training unit, and the learning training cell signal is connected to figure
As quality adjustment unit, described image quality adjustment cell signal is connected to image processing unit, described image processing unit letter
Number it is connected to the display unit, described image acquisition unit, image classification unit are electrical connected with storage unit.
Described image acquisition unit, for collecting the image data in various image photographic scenes, by the picture number of acquisition
According to being stored in storage unit, and image receiving unit being sent it to, described image acquisition unit can be used in mobile terminal,
For example, mobile phone, tablet computer, personal digital assistant, wearable device (such as eyes, wrist-watch), the operating system of mobile terminal can
To include Android, IOS, Windows etc., acquisition for mobile terminal input picture, which may include camera application
The image of programmed acquisition or user pass through the image that other approach (such as network) obtain.
Described image receiving unit believes image for receiving the image information sended over from image acquisition units
Breath is sent to image classification unit.
The storage unit is for storing image, so as to the inquiry in later period.
Described image taxon, for setting various image classification factors, according to one of various classification factors or
Many factors are combined classification to the image data stored in storage unit, obtain dividing belonging to image data to be processed
Class, and classification results are sent to learning training unit.The classification factor may include photo opporunity (daytime or evening), clap
According to weather (fine day or the various weather conditions that may cause image notable difference such as rainy day or snowy day or greasy weather), clap
According to device model, picture taking lens type (zoom or fixed-focus or different sensor models) etc..
The learning training unit, the typical image data of the image data for extracting various classification, by typical figure
As data are set the corresponding parameter value of each feature, calculated using machine learning as training set to training set progress feature extraction
Method finally trains the quality adjustor of image data, which includes that the image data of every kind of classification is corresponding various
Feature and the corresponding optimal value of the parameter of each feature.The corresponding various features of image data of every kind of classification include brightness, comparison
Degree, saturation degree, coloration, acutance, exposure, gain, aperture, backlight compensation, strong Xanthophyll cycle, wide dynamic, white balance, noise reduction and electronics
Stabilization etc..
Described image quality adjustment unit, for using the corresponding various features of classification belonging to image data to be processed
Feature extraction is carried out to image data to be processed, according to the corresponding various features pair of classification belonging to image data to be processed
The optimal value of the parameter answered carries out adjustment of features to image data to be processed, and successive optimization image configurations obtain at quality adjustment
Image data after reason realizes that image configurations optimize.
Described image processing unit for handling the image sended over, and is sent to display unit and is shown
Show.The inside of described image processing unit is equipped with color balance adjustment circuit, gamma adjustment circuit, color gain circuit, display
Processing circuit, the color balance adjustment circuit are adjusted the color and form and aspect of image, then pass the data handled well
It passs in gamma adjustment circuit, image data is finally passed to color and increased by gamma adjustment circuit to image making frequency adjustment
In beneficial circuit, gain process is carried out to image, by showing that processing circuit shows processing on the display unit.
The display unit, for showing processing image processing unit treated image.
In conclusion the present invention can carry out automatically quality adjustment by the image data taken pictures under scene to difference, reduce
It is artificial to participate in link, it improves picture quality and adjusts efficiency；The present invention can also be better by realizing in color balance adjustment circuit
The degree of balance of image and the bright degree of image are adjusted, the efficiency of image procossing is increased.
Claims (8)
1. a kind of intelligent image processing unit, it is characterised in that：Described device include image acquisition units, image receiving unit,
Image classification unit, learning training unit, storage unit, picture quality adjust unit, image processing unit, display unit；Institute
It states image acquisition units signal and is connected to image receiving unit, described image receiving unit signal is connected to image classification unit,
Described image taxon signal is connected to learning training unit, and the learning training cell signal is connected to picture quality adjusting
Unit, described image quality adjustment cell signal are connected to image processing unit, and described image processing unit signal is connected to institute
Display unit is stated, described image acquisition unit, image classification unit are electrical connected with storage unit.
2. intelligent image processing unit as described in claim 1, it is characterised in that：
Described image acquisition unit deposits the image data of acquisition for collecting the image data in various image photographic scenes
It is stored in storage unit, and sends it to image receiving unit；
Described image receiving unit sends out image information for receiving the image information sended over from image acquisition units
It send to image classification unit；
The storage unit is for storing image, so as to the inquiry in later period.
3. intelligent image processing unit as claimed in claim 2, it is characterised in that：
Described image taxon, for setting various image classification factors, according to one of various classification factors or a variety of
Factor is combined classification to the image data stored in storage unit.
4. intelligent image processing unit as claimed in claim 3, it is characterised in that：
The learning training unit, the typical image data of the image data for extracting various classification, by typical image number
According to as training set, feature extraction is carried out to training set, sets the corresponding parameter value of each feature, most using machine learning algorithm
The quality adjustor of image data is trained eventually.
5. intelligent image processing unit as claimed in claim 4, it is characterised in that：
Described image quality adjustment unit, for being treated using the corresponding various features of classification belonging to image data to be processed
The image data of processing carries out feature extraction, corresponding according to the corresponding various features of classification belonging to image data to be processed
Optimal value of the parameter carries out adjustment of features, successive optimization image configurations, after obtaining quality adjustment processing to image data to be processed
Image data, realize image configurations optimize.
6. intelligent image processing unit as claimed in claim 5, it is characterised in that：Described image processing unit, for hair
The image brought is handled, and is sent to display unit and is shown.
7. intelligent image processing unit as claimed in claim 6, it is characterised in that：The display unit is handled for display
Image processing unit treated image.
8. intelligent image processing unit as claimed in claim 6, it is characterised in that：The inside of described image processing unit is equipped with
Color balance adjustment circuit, gamma adjustment circuit, color gain circuit, display processing circuit, the color balance adjustment circuit
The color and form and aspect of image are adjusted, then pass to the data handled well in gamma adjustment circuit, gamma adjustment electricity
Image data is finally passed in color gain circuit image making frequency adjustment by road, is carried out gain process to image, is led to
It crosses display processing circuit and shows processing on the display unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201711360035.6A CN108881708A (en) | 2017-12-18 | 2017-12-18 | A kind of intelligent image processing unit |
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| CN201711360035.6A CN108881708A (en) | 2017-12-18 | 2017-12-18 | A kind of intelligent image processing unit |
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Cited By (4)
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| CN109639932A (en) * | 2019-02-28 | 2019-04-16 | 努比亚技术有限公司 | Image processing method, mobile terminal and computer readable storage medium |
| CN112368738A (en) * | 2020-05-18 | 2021-02-12 | 上海联影医疗科技股份有限公司 | System and method for image optimization |
| CN112967190A (en) * | 2021-02-09 | 2021-06-15 | 北京爱芯科技有限公司 | Image processing method, image processing device, electronic equipment and computer readable storage medium |
| CN113487522A (en) * | 2021-09-08 | 2021-10-08 | 深圳市诚识科技有限公司 | Multi-channel switching noise reduction method for image communication |
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| CN113487522A (en) * | 2021-09-08 | 2021-10-08 | 深圳市诚识科技有限公司 | Multi-channel switching noise reduction method for image communication |
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Effective date of registration: 20200810 Address after: Room 2087, No. 100, Lane 130, Taopu Road, Putuo District, Shanghai Applicant after: Jingpu (Shanghai) Artificial Intelligence Technology Co., Ltd Address before: 226000 Jiangsu city of Nantong province No. 2 Building 1 room 110494 Hyde Applicant before: NANTONG SHIAI INTELLIGENT TECHNOLOGY Co.,Ltd. |
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Application publication date: 20181123 |