CN104036016A - Picture screening method and picture screening device - Google Patents

Picture screening method and picture screening device Download PDF

Info

Publication number
CN104036016A
CN104036016A CN201410290554.XA CN201410290554A CN104036016A CN 104036016 A CN104036016 A CN 104036016A CN 201410290554 A CN201410290554 A CN 201410290554A CN 104036016 A CN104036016 A CN 104036016A
Authority
CN
China
Prior art keywords
pictures
picture
screening
module
browsing
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
Application number
CN201410290554.XA
Other languages
Chinese (zh)
Inventor
付强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Allwinner Technology Co Ltd
Original Assignee
Allwinner Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Allwinner Technology Co Ltd filed Critical Allwinner Technology Co Ltd
Priority to CN201410290554.XA priority Critical patent/CN104036016A/en
Publication of CN104036016A publication Critical patent/CN104036016A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5838Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour

Abstract

The invention provides a picture screening method and a picture screening device. The picture screening method includes the steps of reading of multiple pictures and browsing of the pictures; if intelligent screening needs to be performed on the pictures after the pictures are browsed, the step of intelligent screening is performed and includes collecting focusing parameters of one picture; collecting acutance of the picture; collecting contract ratio of the picture; collecting gradient of the picture; performing weighted calculation on the focusing parameters, the acutance, the contrast ratio and the gradient to acquire quality parameters of the picture; screening the pictures according to the quality parameters. The picture screening devices applies the picture screening method. The pictures are intelligently screened for a user through intelligent screening, so that the user can quickly and conveniently operate and screen the pictures, and user experience is greatly improved.

Description

The screening technique of picture and screening plant thereof
Technical field
The present invention arranges picture processing field, relates in particular to a kind of screening technique and screening plant thereof of picture.
Background technology
At mobile phone and panel computer, gradually incorporate after daily life, increasing mobile phone and panel computer are all installed to digital camera head, to be convenient for people to pictures taken and record life.In order to improve the user of digital camera head, experience, the developers of mobile terminal have added one after another and have taken pictures continuously and by being made into the exposal models such as GIF animation after the plurality of pictures of taking pictures continuously, make user in the short time, to take continuously plurality of pictures and to be made into animation, simultaneously, in order to process this plurality of pictures, developer has also correspondingly added picture browsing and disposal system.
But from picture browsing screening system, owing to not having unified standard, so each developer's the browing system developing and screening system are all diversified in pattern or method of operating.These browing systems and screening system all exist some problems, its problem comprises that cannot realize large figure browses, but by the preview graph of plurality of pictures with matrix form be arranged on screen for user and go screening, because the display screen of mobile terminal is less, user cannot see the difference between preview graph clearly completely.Meanwhile, also there is the problems such as complex operation, need to be between several interfaces in the process of screening switch back and forth, can not be under an interface complete operation, to user, bring bad experience, cause the breakneck acceleration of picture excessively slow.
Simultaneously, digital camera head is to generate plurality of pictures after taking pictures continuously at short notice, when only need to screening a best picture in plurality of pictures, user preserves, when all the other pictures are deleted, because user on the less display screen of display screen is difficult to distinguish different and good and bad between the plurality of pictures of taking pictures continuously, so cause bringing the inconvenience in use to user.
Summary of the invention
The first object of the present invention is to provide the picture screening technique that a kind of user of making can carry out picture screening sooner more easily.
The second object of the present invention is to provide the picture screening plant that a kind of user of making can carry out picture screening sooner more easily.
In order to realize the first object of the present invention, the invention provides a kind of picture screening technique, its step comprises the step that reads a plurality of pictures and the step of browsing a plurality of pictures, wherein, screening technique is after browsing a plurality of pictures, as needs carry out intelligent screening to a plurality of pictures, carry out the step of intelligent screening, the step of intelligent screening comprises: the step that the focusing parameter of a pictures is gathered; The step that the acutance of one pictures is gathered; The step that the contrast of one pictures is gathered; The step that the gradient of one pictures is gathered; After being weighted, focusing parameter, acutance, contrast and gradient draw the step of the Q factor of this picture; The step of a plurality of pictures being screened according to Q factor.
From such scheme, to the plurality of pictures parameter of focusing, acutance, the parameter such as contrast and gradient gathers calculating, due to focusing parameter, acutance, contrast and gradient are the whether good important parameters of picture, according to its parameter, different weights are set again, and be weighted, thereby draw the different Q factors of different pictures, according to the Q factor of each picture, compare again, the picture of selecting one or several sheets to have parameter best in quality is preserved, by intelligent screening, be that user screens picture intelligently, thereby make user can preserve quickly and easily a picture with parameter best in quality, thereby user can operate quickly and easily screening in plurality of pictures, greatly promoting user experiences.
Further scheme is, if do not needed that picture is carried out to intelligent screening, judges whether whole pictures to be preserved, and in this way, preserves whole pictures.
Further scheme is, if do not needed that whole pictures are preserved, judges whether whole pictures to be deleted, and in this way, deletes whole pictures.
Further scheme is, if do not needed that whole pictures are deleted, selects the picture of required deletion to delete, and remaining picture is preserved.
Therefore, if do not needed, carry out intelligent screening, can preserve whole pictures by selection, delete whole pictures or manually select, be conducive to improve can operational readiness spending with autonomous of user, also facilitate user to carry out batch screening to plurality of pictures simultaneously.
Further scheme is, the step of browsing a plurality of pictures comprises: the below by read a plurality of pictures with the form tiling sub-screen of preview icon; Detect a required pictures of browsing; This required picture of browsing is amplified and is presented to the top of screen.
Therefore, after reading plurality of pictures, below by picture with the form tiling sub-screen of preview icon, and the top of screen will be presented at after the picture amplification of user's selection,, in the situation that mobile terminal screen size is limited, make user more clearly in the details of browsing pictures as much as possible, also preview graph be can show, thereby friendliness and the user experience of user interface promoted.
In order to realize the second object of the present invention, the invention provides a kind of screening plant of picture, comprise for reading the reading unit of a plurality of pictures and for browsing the browse unit of a plurality of pictures, wherein, screening plant also comprises for a plurality of pictures being carried out to the intelligent screening unit of intelligent screening, the comprising of intelligent screening unit: the focusing parameter acquisition module gathering for the focusing parameter to a pictures; For the acutance acquisition module that the acutance of a pictures is gathered; For the contrast acquisition module that the contrast of a pictures is gathered; For the gradient acquisition module that the gradient of a pictures is gathered; For drawing the weighted calculation module of the Q factor of this picture after focusing parameter, acutance, contrast and gradient are weighted; For the comparison module a plurality of pictures being screened according to Q factor.
From such scheme, by screening plant to the plurality of pictures parameter of focusing, acutance, the parameter such as contrast and gradient gathers calculating, due to focusing parameter, acutance, contrast and gradient are the whether good important parameters of picture, according to its parameter, different weights are set again, and be weighted by weighted calculation module, thereby draw the different Q factors of different pictures, recycling comparison module is compared according to the Q factor of each picture, the picture of selecting one or several sheets to have parameter best in quality is preserved, by intelligent screening, be that user screens picture intelligently, thereby make user can preserve quickly and easily a picture with parameter best in quality, thereby user can operate quickly and easily screening in plurality of pictures, greatly promoting user experiences.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of picture screening technique embodiment of the present invention.
Fig. 2 is the process flow diagram of picture browsing step in picture screening technique embodiment of the present invention.
Fig. 3 is the schematic diagram at the first interface of picture browsing step in picture screening technique embodiment of the present invention.
Fig. 4 is the schematic diagram of the second contact surface of picture browsing step in picture screening technique embodiment of the present invention.
Fig. 5 is the process flow diagram of intelligent screening step in picture screening technique embodiment of the present invention.
Fig. 6 is the system chart of picture screening plant embodiment of the present invention.
Below in conjunction with drawings and Examples, the invention will be further described.
Embodiment
Picture screening technique embodiment:
With reference to Fig. 1, Fig. 1 is the process flow diagram of picture screening technique.After user uses digital camera head to generate plurality of pictures by continuous shooting and is stored in memory storage, start to carry out picture screening technique.First perform step S1, to storing in the memory storage of plurality of pictures, picture is read, then perform step S2, the plurality of pictures reading is carried out to browse displays.
With reference to Fig. 2, the process flow diagram of Fig. 2 browsing pictures step S2, when execution step S2, is included in the complete step S21 carrying out after picture step S1 that reads, and is about to read picture and with the form of preview icon, is laid in the below of screen.With reference to Fig. 3, Fig. 3 is the first interface schematic diagram of picture browsing step, when execution step S21, plurality of pictures P1, the P2, P3, P4 and the P5 that read are placed on to the direction of the screen of mobile terminal with the form tiling of preview icon, acquiescently the first pictures P1 reading is amplified and is presented at subsequently the top of screen, as shown in Figure 3.Then perform step S22, detect the picture that user wants to browse, existing terminal device mostly is employing touch display screen, when user below screen when selecting a pictures to check in detail among preview graph P1, P2, P3, P4 and P5, for example, as shown in Figure 4, when user clicks after the preview graph P4 of screen below, perform step S23, preview graph P4 is amplified, and the figure P4 after amplifying is presented to the top of screen.Certainly, in the time of on the mobile terminal of above-mentioned steps S22 on being applied in non-touch display screen, can the selection of picture be detected and be operated by physical button, after picture being selected by physical button, perform step S23, the picture of selection be amplified and is presented to the top of screen.
Subsequently, execution step S3, judges whether user needs plurality of pictures to carry out intelligent screening, as user clicks, has selected the button of label 3 as shown in Figure 4, represents that user has selected intelligent screening function, performs step S7, and plurality of pictures is carried out to intelligent screening.With reference to Fig. 5, Fig. 5 is the process flow diagram of intelligent screening step S7.During execution step S7, first perform step S71, a wherein pictures of plurality of pictures is read, then perform step S72, focusing parameter, brightness, contrast, acutance, gray scale and the gradient of the photo current reading are gathered to calculating.
Particularly, the digital camera head of existing mobile terminal generally all can add the function of automatic focusing, its function can guarantee that the image that the light-sensitive medium in digital camera head records obtains clear effect, and the mode of existing automatic focusing mainly contains active automatic focusing, focus detection method, Depth from defocus, focusing depth method, and focusing depth method is to apply a kind of comparatively common method, focusing depth method is a kind of focusing mode being based upon in search process, it by a series of focusings gradually accurately image determine that object point is to the distance of imaging system, this search process needs the very multiple image under different imaging parameters.Motor drives lens moving, step-length of the every movement of camera lens, and imageing sensor collects a width digital picture, and image is delivered to the calculating such as digital signal processing unit is sampled, analyzed, evaluation, obtains Image Definition value.Camera lens continuous moving, system obtains the evaluation function value of multiple image, and these evaluation function values are compared, whether judgement focusing is accurate, and whether imaging is clear, and provides the operation that feedback signal is controlled camera lens, until the image collecting meets request for utilization, complete automatic focusing.And the evaluation of image definition can adopt conventional evaluation function to calculate, as high fdrequency component method, discrete more than first conversion, entropy function, gradient function etc.
When the evaluation of image definition adopts high fdrequency component method to calculate, can pass through Fourier transform, image information be transformed to frequency domain, then frequency spectrum is analyzed.Because the image of the image ratio out of focus of focusing effect comprises more details and quantity of information, on frequency domain, the high fdrequency component of frequency spectrum is many, so thereby find out the picture rich in detail that corresponding high fdrequency component is many.Except adopting Fourier transform, can also adopt discrete cosine transform method.Discrete cosine transform method is that another utilizes the fft algorithm in Fourier transform on frequency domain, to express the method for image, utilize the frequency spectrum of image to come the sharpness physical significance of analysis image very clear and definite, monitoring stability of characteristics, be subject to the interference of noise little, can accurately find image the most clearly, to the target image of different size, can focus preferably.
The evaluation of image definition is except adopting Fourier transform to calculate, the evaluation of image definition can also adopt entropy function to calculate evaluation function, because image information has been described the probability that a certain pixel value occurs in entire image, occurrence number is fewer, its weight is larger, the in the situation that of same illumination, if lens aperture does not change, focusing does not affect the lighting performance of system, stochastic distribution in certain luminous energy in picture plane, in out of focus situation, in difference focusing position, form different light energy distribution, so focus, the entropy of good image is greater than the entropy of image clearly of not focusing, therefore entropy function can be used as a kind of evaluation criterion.
The evaluation of image definition can also adopt gradient function to calculate evaluation function, and when clear picture, image detail is abundant, and the eigenwert (as gray scale, color etc.) that shows as neighbor in spatial domain changes larger.According to this feature, image is differentiated and extracted edge and the profile of scenery in image.In image is processed, gradient function is commonly used to extract the marginal information of image.The good image of focusing, has sharp-pointed edge image, to there being larger gradient function value, so gradient function value can be used as a kind of evaluation criterion.
Visible, the picture of the required collection in the present embodiment focusing parameter can also be the entropy being calculated by entropy function for by utilizing Fourier transform to obtain frequency domain information, can also be for gradient function value etc.
The two-dimensional array that the brightness of picture, contrast, acutance, gray scale and gradient can obtain through over-sampling and digitizing picture by methods such as Digital Image Processing, by analyzing and process this two-dimensional array, needed parameter acquisition can be drawn again.
Execute after acquisition step S72, perform step subsequently S73, to focusing parameter, brightness, contrast, acutance, gray scale and gradient are weighted, due to focusing parameter, brightness, contrast, acutance, the image parameters such as gray scale and gradient has different significance levels in the good judgement of picture, as the parameter of focusing is one of most important parameter in the good judgement of picture, the weight of the parameter of focusing will be larger than other parameters, and brightness, contrast, acutance and gradient can regulate it to have different weights according to demand, the different weights that have according to parameters subsequently, calculate the Q factor of this picture.Perform step again subsequently S74, store the Q factor of this picture.
Perform step subsequently S75, judge whether that all pictures all calculate Q factor, as otherwise return execution step S71, read next pictures, perform step successively again S72, S73, S74, by the parameter acquisitions such as focusing parameter, brightness, contrast, acutance, gray scale and gradient of next pictures and be weighted, and the Q factor that calculates of storage.
When all pictures all calculate after Q factor, perform step S76, the Q factor of more all pictures, thereby screening draws a pictures of Q factor the best, perform step again S77, one pictures of Storing quality parameters optimal, then performs step S78 again remaining picture is deleted.
With reference to Fig. 1, when user does not need intelligent screening, perform step S4, judgement user need to preserve whole pictures, as needs, whole pictures is preserved and is performed step S10, is about to whole pictures and preserves.If do not needed, picture is all preserved, performed step S5, judge whether user needs whole pictures to delete, as user need to delete whole pictures, perform step S9, be about to whole pictures and delete.
As user does not need when all deleting, to perform step S6, when user clicks the button of having selected label 6 as shown in Figure 4, represent that user has selected manual screening function.After user's button click being detected, in the upper right side that is positioned at the preview graph below screen, there is the delete button of label 61, when user clicks after the delete button of this label 61, representative of consumer selects this pictures to delete.When user clicks the button of label 6 again, represent that user manually deletes complete, perform step subsequently S9, remaining picture is preserved, then complete the screening to continuous shooting plurality of pictures.
Picture screening plant:
With reference to Fig. 6, Fig. 6 is the structured flowchart of picture screening plant 1.Picture screening plant 1 comprises reading unit 11, browse unit 12, intelligent screening unit 13, preservation module 14, removing module 15 and manual module 16.Reading unit 11 reads a plurality of pictures for the memory storage to storing picture, the pictorial information that browse unit 12 is exported for receiving reading unit 11, and a plurality of pictures that read are browsed.Browse unit 12 comprises previewing module 121, detection module 122 and display module 123, previewing module 121 is for the below with the form tiling sub-screen of preview icon by read a plurality of pictures, detection module 122 is for detection of the required picture of browsing of user, and display module 123 is for amplifying the required picture of browsing of user be presented at the top of screen.
Intelligent screening unit 13 comprises focusing parameter acquisition module 131, acutance acquisition module 132, contrast acquisition module 133, gradient acquisition module 134, weighted calculation module 135 and comparison module 136, when intelligent screening unit 13 receives the pictorial information of browse unit 12 outputs and the plurality of picture is carried out to intelligent screening, focusing parameter acquisition module 131 gathers for the focusing parameter to a pictures, acutance acquisition module 132 is for gathering the acutance of a pictures, contrast acquisition module 133 is for gathering the contrast of a pictures, gradient acquisition module 134 is for gathering the gradient of a pictures.Weighted calculation module 135 is by the focusing parameter collecting, acutance, thereby contrast and gradient are weighted the Q factor that calculates this picture according to different weights, the Q factor of this pictures is preserved simultaneously, judge whether again the Q factor of all pictures to calculate, as no, intelligent screening unit 13 reads another pictures again, utilizing focusing parameter acquisition module 131, acutance acquisition module 132, contrast acquisition module 133, 134 pairs of pictures of gradient acquisition module parameter of focusing, acutance, contrast, the parameters such as gradient gather, recycling weighted calculation module 135 is calculated the Q factor of this picture.If the Q factor of all pictures is all to calculate and to store, comparison module 136 compares each Q factor of all pictures, and screens a best Q factor and preserve, by itself and poor the deleting of Q factor.
Preserve module 14 for whole pictures are preserved, removing module 15 is for whole pictures are deleted, and manually module 16 is preserved remaining picture for user being clicked after the picture of selection is deleted again.
From such scheme, the plurality of pictures of the generation of logarithmic code camera after taking pictures the continuously parameter of focusing, acutance, the parameter such as contrast and gradient gathers calculating, according to its parameter, different weights is set again, and be weighted, thereby draw the different Q factors of different pictures, according to the Q factor of each picture, compare again, the picture of selecting one or several sheets to have parameter best in quality is preserved, by intelligent screening, be that user screens picture intelligently, thereby make user can preserve quickly and easily a picture with parameter best in quality, simultaneously, user can be by browsing the picture of preview graph and amplification on an interface, and can on this interface, carry out intelligent screening operation or manual screening operation, user is switched in a plurality of interfaces more back and forth, greatly promoting user experiences.

Claims (10)

1. the screening technique of picture, it comprises the step that reads a plurality of pictures and the step of browsing a plurality of pictures;
It is characterized in that:
Described screening technique is browsed in execution after the step of a plurality of pictures, as needs to as described in a plurality of pictures carry out intelligent screening, carry out the step of intelligent screening, the step of described intelligent screening comprises
The step that the focusing parameter of one pictures is gathered;
The step that the acutance of one pictures is gathered;
The step that the contrast of one pictures is gathered;
The step that the gradient of one pictures is gathered;
After being weighted, described focusing parameter, described acutance, described contrast and described gradient draw the step of the Q factor of this picture;
The step of a plurality of pictures being screened according to described Q factor.
2. screening technique according to claim 1, is characterized in that:
In execution, browse after the step of a plurality of pictures, if do not need to as described in picture carry out intelligent screening, judge whether whole pictures to be preserved, in this way, preserve described whole picture.
3. screening technique according to claim 2, is characterized in that:
When not needing whole pictures to preserve, judge whether whole pictures to be deleted, in this way, delete described whole picture.
4. screening technique according to claim 3, is characterized in that:
When not needing whole pictures to delete, select the picture of required deletion to delete, remaining picture is preserved.
5. according to the screening technique described in claim 1 to 4 any one, it is characterized in that:
The described step of browsing a plurality of pictures comprises
Below by read a plurality of pictures with the form tiling sub-screen of preview icon;
Detect a required pictures of browsing;
The required picture of browsing described in this is amplified and is presented to the top of screen.
6. the screening plant of picture, comprises for reading the reading unit of a plurality of pictures and for browsing the browse unit of a plurality of pictures;
It is characterized in that:
Described screening plant also comprises for described a plurality of pictures being carried out to the intelligent screening unit of intelligent screening, the comprising of described intelligent screening unit
For the focusing parameter acquisition module that the focusing parameter of a pictures is gathered;
For the acutance acquisition module that the acutance of a pictures is gathered;
For the contrast acquisition module that the contrast of a pictures is gathered;
For the gradient acquisition module that the gradient of a pictures is gathered;
For drawing the weighted calculation module of the Q factor of this picture after described focusing parameter, described acutance, described contrast and described gradient are weighted;
For the comparison module a plurality of pictures being screened according to described Q factor.
7. screening plant according to claim 6, is characterized in that:
Described screening plant also comprises the preservation module for whole pictures are preserved.
8. screening plant according to claim 7, is characterized in that:
Described screening plant also comprises the removing module for whole pictures are deleted.
9. screening plant according to claim 8, is characterized in that:
Described screening plant also comprises the manual module for selecting the picture of required deletion to delete and remaining picture is preserved.
10. according to the screening plant described in claim 6 to 9 any one, it is characterized in that:
Described browse unit comprises
For the previewing module with the below of the form tiling sub-screen of preview icon by read a plurality of pictures;
Detection module for detection of the required picture of browsing;
For the required picture of browsing described in this being amplified and is presented at the display module of the top of screen.
CN201410290554.XA 2014-06-25 2014-06-25 Picture screening method and picture screening device Pending CN104036016A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410290554.XA CN104036016A (en) 2014-06-25 2014-06-25 Picture screening method and picture screening device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410290554.XA CN104036016A (en) 2014-06-25 2014-06-25 Picture screening method and picture screening device

Publications (1)

Publication Number Publication Date
CN104036016A true CN104036016A (en) 2014-09-10

Family

ID=51466786

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410290554.XA Pending CN104036016A (en) 2014-06-25 2014-06-25 Picture screening method and picture screening device

Country Status (1)

Country Link
CN (1) CN104036016A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105205361A (en) * 2015-08-26 2015-12-30 努比亚技术有限公司 Image screening method and device
CN106558034A (en) * 2015-09-30 2017-04-05 北京奇虎科技有限公司 A kind of method and apparatus for clearing up view data in a mobile device
CN106559616A (en) * 2015-09-30 2017-04-05 日本电气株式会社 Simple lens imaging method and equipment
CN106570028A (en) * 2015-10-10 2017-04-19 比亚迪股份有限公司 Mobile terminal, fuzzy image deletion method and fuzzy picture deletion device
CN111556249A (en) * 2020-05-19 2020-08-18 青岛海信移动通信技术股份有限公司 Image processing method based on ink screen, terminal and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1725840A (en) * 2004-07-23 2006-01-25 三星电子株式会社 Digital image device and image management method thereof
US20100171837A1 (en) * 2006-04-06 2010-07-08 Pillman Bruce H Varying camera self-determination based on subject motion
CN201667682U (en) * 2010-03-09 2010-12-08 天津三星光电子有限公司 Digital camera with image evaluating function
CN103810683A (en) * 2012-11-14 2014-05-21 三星电子(中国)研发中心 Photo processing method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1725840A (en) * 2004-07-23 2006-01-25 三星电子株式会社 Digital image device and image management method thereof
US20100171837A1 (en) * 2006-04-06 2010-07-08 Pillman Bruce H Varying camera self-determination based on subject motion
CN201667682U (en) * 2010-03-09 2010-12-08 天津三星光电子有限公司 Digital camera with image evaluating function
CN103810683A (en) * 2012-11-14 2014-05-21 三星电子(中国)研发中心 Photo processing method and device

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105205361A (en) * 2015-08-26 2015-12-30 努比亚技术有限公司 Image screening method and device
CN105205361B (en) * 2015-08-26 2018-08-14 努比亚技术有限公司 A kind of method for screening images and device
CN106558034A (en) * 2015-09-30 2017-04-05 北京奇虎科技有限公司 A kind of method and apparatus for clearing up view data in a mobile device
CN106559616A (en) * 2015-09-30 2017-04-05 日本电气株式会社 Simple lens imaging method and equipment
CN106559616B (en) * 2015-09-30 2020-08-28 日本电气株式会社 Single lens imaging method and apparatus
CN106570028A (en) * 2015-10-10 2017-04-19 比亚迪股份有限公司 Mobile terminal, fuzzy image deletion method and fuzzy picture deletion device
CN106570028B (en) * 2015-10-10 2020-12-25 比亚迪股份有限公司 Mobile terminal and method and device for deleting blurred image
CN111556249A (en) * 2020-05-19 2020-08-18 青岛海信移动通信技术股份有限公司 Image processing method based on ink screen, terminal and storage medium

Similar Documents

Publication Publication Date Title
CN107959883B (en) Video editing and pushing method and system and intelligent mobile terminal
US7653249B2 (en) Variance-based event clustering for automatically classifying images
JP5934653B2 (en) Image classification device, image classification method, program, recording medium, integrated circuit, model creation device
CN108230232B (en) Image processing method and related device
CN104036016A (en) Picture screening method and picture screening device
CN106231297B (en) The detection method and device of camera
US9538116B2 (en) Relational display of images
CN101790034A (en) Image processing apparatus, image displaying method, and image displaying program
CN105874776A (en) Image processing apparatus and method
CN110109878A (en) Photograph album management method, device, storage medium and electronic equipment
CN103201769A (en) Image processing device, image processing method, program, integrated circuit
TW200536389A (en) Intelligent key-frame extraction from a video
CN105653636A (en) Information processing method and apparatus as well as information processing apparatus
JP2009265827A (en) Object detection device and method, object detection system, and program
CN106537413A (en) Systems and methods for autonomously generating photo summaries
CN103188434A (en) Method and device of image collection
CN105847413A (en) Camera parameter processing method, apparatus and system, and server
CN104021174A (en) Method, system and application for obtaining complete resources according to image segments
CN111866374A (en) Image shooting method and device, pan-tilt camera and storage medium
CN110022429A (en) Image capture unit, storage space method of adjustment and computer-readable recording medium
CN103501410B (en) The based reminding method of shooting, the generation method of device and detection pattern, device
CN106777071B (en) Method and device for acquiring reference information by image recognition
US20170163904A1 (en) Picture processing method and electronic device
CN106210541A (en) A kind of video generation method, device and mobile terminal
US9204019B2 (en) Measuring device and method for calculating response time of electronic device

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20140910