CN101764925B - Simulation method for shallow field depth of digital image - Google Patents
Simulation method for shallow field depth of digital image Download PDFInfo
- Publication number
- CN101764925B CN101764925B CN2008101765908A CN200810176590A CN101764925B CN 101764925 B CN101764925 B CN 101764925B CN 2008101765908 A CN2008101765908 A CN 2008101765908A CN 200810176590 A CN200810176590 A CN 200810176590A CN 101764925 B CN101764925 B CN 101764925B
- Authority
- CN
- China
- Prior art keywords
- those
- images
- digital picture
- focal length
- digital
- 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.)
- Expired - Fee Related
Links
Images
Landscapes
- Studio Devices (AREA)
Abstract
The invention discloses a simulation method for shallow field depth of a digital image. The method includes the following steps: a shooting device is provided and focuses on a main body; the optimal focal distance of the main body is obtained and the digital image is shot; the digital image is divided into a plurality of sectional images; the shooting focal distance of the sectional images is analyzed; the sectional images are fuzzed, and the fuzzy degree of the sectional images is adjusted according to the difference between the shooting focal distance of the sectional images and the optimal focal distance. Therefore, as the sectional images far away from the main body can be severely fuzzy, the simulation effect of the shallow field depth is natural.
Description
Technical field
The present invention is a kind of simulation method for shallow field depth of digital picture, refers to a kind of shooting focal length and the difference of the pinpointed focus of main body simulation method for shallow field depth of coming the fog-level of adjustment region image according to each area image especially.
Background technology
Generally speaking, digital camera is when taking action, and this digital camera can be adjusted the relative position of its lens group, makes focus (focus point) can drop on the main body that is taken.So, the digital picture that photographs (or being referred to as digital photo) can clearly show this main body.Though and the scenery in front and back one segment distance of this main body is not to drop on fully on the focus, because distance focal point is still not far, so also can clearly illustrate in this digital picture, this segment distance scope is the so-called depth of field (Depth of field).Scenery outside field depth so seem fuzzy, can't be known demonstration because far away apart from this focus.
The depth of the depth of field can be determined that for example the focal length of lens group is healed long (as telephoto lens) by a plurality of acquisition parameters of digital camera, and then the depth of field is more shallow; Object distance (lens group and intersubjective distance) is nearer, and then the depth of field is more shallow; And aperture (aperture) is bigger, and then the depth of field is more shallow.And the user normally changes the depth of the depth of field by the aperture of adjusting digital camera.
The depth of the depth of field can influence the impression of shot digital images, the different depth of field depths has it to be fit to the occasion of taking, for example: use the shallow depth of field when taking portrait (portrait) usually, make and put in order in the number word image, except main body (portrait) can be by clear demonstration, remaining scenery is all fuzzy, presents the visual sense of beauty of dim aestheticism whereby, and can highlight the existence of main body; And can allow the depth of field elongate at shooting natural land (landscape) as far as possible, so whole scenery of digital picture all can clearly manifest.
Though the depth of the depth of field can be adjusted by f-number, yet except simple eye (the DigitalSingle Lens Reflex of numeral, DSLR) the phase function has f-number in a big way can supply to adjust, generally little than the adjusting range of the f-number of the digital camera of par, so it is difficult to shoot the digital picture with shallow Deep Canvas.
Therefore, can only utilize back system (retouch) method of some images or photograph to reach the effect of the shallow depth of field.U.S. Patent number US6 for example, the depth of field analogue system of 148, the 113 a kind of two-dimensional space images that proposed and How It Works thereof (System for stimulating the depth of field of animage in two dimensional space and method of operatio
Yet; it is as follows that these digital pictures via the shallow depth of field of back system have a little defectives: in digital picture " plan range " decides its fog-level according to pixel and focus owing to those back system methods; be not that " focusing from " of reality decides its fog-level when taking, so usually can cause the effect of the shallow depth of field inappropriate.For example in fact the scenery of corner have identical focal length with the scenery of central authorities, but the scenery of corner is but seriously blured.
Though some image processing software is available for users to set the Deep Canvas of the zones of different of digital picture, so the user can be according to the focusing of the scenery of digital picture and focus (main body) from adjusting Deep Canvas.But the method wastes time and energy, and user's real focusing of also being difficult to know each scenery and focus from difference, so this method is still some defective, the real genus unfortunately.
Therefore so the above-mentioned defective of inventor's thoughts can be improved, propose a kind of reasonable in design and effectively improve the present invention of above-mentioned defective.
Summary of the invention
Main purpose of the present invention is to provide a kind of simulation method for shallow field depth of digital picture, its difference according to the pinpointed focus of the shooting focal length of each area image in the digital picture and main body decides its fog-level, obtains the digital picture of nature of a shallow Deep Canvas whereby.
For achieving the above object, the invention provides a kind of simulation method for shallow field depth of digital picture, comprise that step is as follows: a filming apparatus is provided, and this filming apparatus is focused to a main body; Obtain the pinpointed focus of this main body, and take a digital picture; This digital picture is divided into a plurality of area images; Analyze the shooting focal length of those area images, this is analyzed in the step of shooting focal length of those area images, comprise that more step is as follows: this filming apparatus is taken many reference digital images in focus process, and those reference digital images respectively have a corresponding shooting focal length; Those reference digital images respectively are divided into a plurality of area images consistent with the area image number of described digital picture; Analyze those area images of those reference digital images respectively; Judge respectively whether those area images are positioned at the shooting focal length of this reference digital image of its correspondence, thereby draw the shooting focal length of the area image of each reference digital image, and make the shooting focal length of the area image of this reference digital image equal the shooting focal length of the area image of described digital picture; And blur those area images, and adjust its fog-level according to the shooting focal length of those area images and the difference of this pinpointed focus.
Whereby, the simulation method for shallow field depth of digital picture of the present invention has following beneficial effect: the shooting focal length of each area image can analyze in the digital picture, therefore can blur those area images according to the shooting focal length of those area images and the difference of pinpointed focus.So, the shallow Deep Canvas that simulates is more natural, does not take place but do not have the very big situation of the close fog-level difference of shooting distance.Or, otherwise the shooting distance situation that fog-level is close very far away takes place.
For enabling further to understand feature of the present invention and technology contents, see also following relevant detailed description of the present invention and accompanying drawing, yet appended accompanying drawing is only for reference and explanation usefulness, is not to be used for the present invention is limited.
Description of drawings
Fig. 1 is the functional block diagram of filming apparatus of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 2 is the flow chart of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 3 is the photographed scene schematic diagram of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 4 is the reference digital image schematic diagram of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 5 is the digital picture schematic diagram of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 6 is the area image schematic diagram of digital picture of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 7 is the shooting focal length analysis process figure of area image of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 8 is the area image schematic diagram of reference digital image of the simulation method for shallow field depth of digital picture of the present invention.
Fig. 9 is the shooting focal length distribution schematic diagram of area image of the simulation method for shallow field depth of digital picture of the present invention.
[main element description of reference numerals]
10 filming apparatus
11 processors
12 lens group
13 photosensory assemblies
14 storage modules
20 main bodys
21 balloons
30 digital pictures
31 area images
40 digital pictures
41 area images
Step S100 to S110
Step S200 to S206
Embodiment
See also Fig. 1 to Fig. 3, the present invention proposes a kind of simulation method for shallow field depth of digital picture, and it is as follows that it has step:
Step S100: at first, provide a filming apparatus 10.This filming apparatus 10 has a processor 11, a lens group 12, a photosensory assembly 13 and a storage module 14.This filming apparatus 10 can capture the image in the face of the scenery of lens group 12, and takes into a digital picture 40 (as shown in Figure 5).This filming apparatus 10 can be digital camera, devices such as mobile phone capable of taking pictures, and present embodiment is example with the digital camera.And the hardware specification of this filming apparatus 10 does not limit, for example adjusting range of aperture etc.
Step S102: see also Fig. 3, then, the user determines the scenery that desire is taken, and for example the scenery of present embodiment is three balloons 21.And the He Zhewei of the decision scenery main body (mainobject) 20 of taking, for example present embodiment is that balloon 21 with the centre is as main body 20.Then, with the lens group 12 of this filming apparatus 10 towards this main body 20, the program that this main body 20 is focused.In the process of focusing, this filming apparatus 10 can change the distance several between its inner lens group 12 and the photosensory assembly 13, with the focal length (position of focus) that changes this filming apparatus 10.
During every change one posterior focal distance, this filming apparatus 10 can acquisition reference digital images (reference digital image), and this reference digital image can be stored to this storage module 14.Then this processor 11 is further analyzed those reference digital images, judges in those reference digital images that the image of the main body 20 which is opened is the most clear.See also Fig. 4, for example wherein the image of the main body 20 of a reference digital image 30 is very unclear, so take these reference digital image 30 employed focal lengths is not pinpointed focus (preferable focallength) D1 that takes this main body 20, and lens group 12 needs to continue to move again.
And the judgement image knows that degree methods can adopt Contrast Detection method common automatic focusing methods such as (contrastdetection method), does not limit.The resolution of this reference digital image 30 is lower usually, so that reduce the operation time of spending when processor 11 is analyzed.
Step S104: this filming apparatus 10 can find the pinpointed focus D1 that takes this main body 20 through after the focusing program, make main body 20 image can near or drop on this photosensory assembly 13.See also Fig. 5, this filming apparatus 10 becomes a digital picture 40 with this main body 20 and near scene shot thereof then, and this digital picture 40 has higher resolution (comparing with reference digital image 30).The shallow Deep Canvas of the digital picture 40 of this moment is more not obvious, and main body 20 (balloons 21 of central authorities) and the readability difference of other scenery (balloon 21 of both sides) are little.
Step S106: then, see also Fig. 6, this digital picture 40 is distinguished into a plurality of area images 41.The size of area image 41 is by the number decision of its pixel that has (pixel), and less as area image 41, then digital picture 40 can be distinguished more area image 41.Present embodiment is divided into 16 area images 41 with this digital picture 40.
Step S108: afterwards, begin to analyze the shooting focal length of those area images 41, inference is if take some area image 41 when knowing, then how many focal lengths of filming apparatus 10 should be.See also Fig. 2 and Fig. 3, for example area image 41 desires of the balloon 21 of both sides are taken when knowing in this digital picture 40, and the focal length of this filming apparatus 10 should be D2 and D3, and the value of D2 and D3 is the shooting focal length of this area image 41.
See also Fig. 7, the detailed step of shooting focal length of analyzing those area images 41 is as follows:
Step S200: abovementioned steps S102 mentions that filming apparatus 10 is in focus process, and every adjustment one posterior focal distance is promptly taken a reference digital image 30.Therefore, those reference digital images 30 shooting focal length of having a correspondence respectively.
Step S202: then, see also Fig. 8, each this reference digital image 30 also is divided into a plurality of area images 31.Area image 31 numbers of each reference digital image 30 are consistent with the number of the area image 41 of digital picture 40, also are 16.
Step S204: afterwards, begin to analyze those area images 31 of each reference digital image 30.Judge according to the readability (sharpness) of each area image 31 whether this area image 31 is positioned at the shooting focal length of this reference digital image 30 of its correspondence.For example upper left area image 31 is the clearest at a certain reference digital image 30, and then its shooting focal length is the shooting focal length of this reference digital image 30.So, the shooting focal length of each area image 31 can be reasoned out, and the shooting focal length of area image 31 equals the shooting focal length of the area image 41 of digital picture 40.
Step S206: after whole area images 41 inferences are intact, can be further with of the length ordering of those area images 41 according to shooting focal length.See also Fig. 9, or further make a range distribution figure (distance map), the shooting focal length of each area image 41 is marked on the area image 41.So, can be well understood to the relative length of the shooting focal length of area image 41.Also the shooting focal length of each area image 41 and the difference of this pinpointed focus can be marked at area image 41, make another range distribution figure (figure does not show).
Step S110: last, processor 11 is fuzzy with the area image 41 of digital picture 40 parts, makes this digital picture 40 that tangible shallow Deep Canvas be arranged.The fog-level of those area images 41 is adjusted according to the shooting focal length of this area image 41 and the difference of this pinpointed focus respectively, and fog-level is big more if difference is big more, and the fog-level of the area image 41 of same shooting focal length is identical.In the present embodiment, used a Gaussian Blur method (Gaussian blur) to blur those area images 41.And the Gauss's radius value that changes this Gaussian Blur method can be adjusted the fog-level of those area images 41.
In addition, also can adopt following method that the area image 41 of digital picture 40 parts is fuzzy:
At first, the size of those reference digital images 30 is amplified to consistent size with this digital picture 40.The resolution of those reference digital images 30 is lower, so after amplifying, those reference digital images 30 can become fuzzyyer.
Then, with the subregion image 41 of this digital picture 40 respectively with reference digital image 30 wherein in corresponding area image 31 additions merge.Because area image 31 is comparatively fuzzy, so and after area image 41 merging, area image 41 also can become than fuzzy before.The area image 41 of different shooting focal lengths can select for use the area image 31 of the different reference digital images of opening 30 to merge.
Comprehensively above-mentioned, the simulation method for shallow field depth of digital picture of the present invention has following effect: the shooting focal length of each area image 41 can analyze in the digital picture 40, therefore can blur those area images 41 according to the shooting focal length of those area images 41 and the difference of pinpointed focus.So, the shallow Deep Canvas that simulates is more natural, does not take place but do not have the very big situation of the close fog-level difference of shooting distance.Or, otherwise the shooting distance situation that fog-level is close very far away takes place.
But the above only is preferred embodiment of the present invention, non-ly is intended to limit to claim scope of the present invention, so the equivalence that all utilizations specification of the present invention and accompanying drawing content are done changes, all in like manner all is contained in the claim scope of the present invention explanation hereby.
Claims (8)
1. the simulation method for shallow field depth of a digital picture is characterized in that, comprises that step is as follows:
One filming apparatus is provided, and this filming apparatus is focused to a main body;
Obtain the pinpointed focus of this main body, and take a digital picture;
This digital picture is divided into a plurality of area images;
Analyze the shooting focal length of those area images, this is analyzed in the step of shooting focal length of those area images, comprises that more step is as follows:
This filming apparatus is taken many reference digital images in focus process, those reference digital images respectively have a corresponding shooting focal length;
Those reference digital images respectively are divided into a plurality of area images consistent with the area image number of described digital picture;
Analyze those area images of those reference digital images respectively;
Judge respectively whether those area images are positioned at the shooting focal length of this reference digital image of its correspondence, thereby draw the shooting focal length of the area image of each reference digital image, and
Make the shooting focal length of the area image of this reference digital image equal the shooting focal length of the area image of described digital picture; And
Blur those area images, and adjust its fog-level according to the shooting focal length of those area images and the difference of this pinpointed focus.
2. the simulation method for shallow field depth of digital picture according to claim 1, it is characterized in that, this is analyzed in the step of shooting focal length of those area images, judges according to the readability of those area images whether this area image is positioned at the shooting focal length of this reference digital image of its correspondence respectively.
3. the simulation method for shallow field depth of digital picture according to claim 1 is characterized in that, this is analyzed in the step of shooting focal length of those area images, comprises that more step is as follows:
According to the shooting focal length of those area images those area images that sort.
4. the simulation method for shallow field depth of digital picture according to claim 1 is characterized in that the resolution of those reference digital images is low than the resolution of this digital picture.
5. as the simulation method for shallow field depth of digital picture as described in the claim 4, it is characterized in that this filming apparatus has a storage module, those reference digital images are stored in this storage module.
6. as the simulation method for shallow field depth of digital picture as described in the claim 5, it is characterized in that, in the step of these fuzzy those area images, comprise that more step is as follows:
The size of those reference digital images is amplified to consistent size with this digital picture; And
Those area images of this digital picture merge with corresponding this area image of one of them this reference digital image respectively, make those area images of this digital picture fog.
7. the simulation method for shallow field depth of digital picture according to claim 1 is characterized in that, in the step of these fuzzy those area images, uses a Gaussian Blur method to blur those area images of this digital picture.
8. as the simulation method for shallow field depth of digital picture as described in the claim 7, it is characterized in that in the step of these fuzzy those area images, the Gauss's radius that changes this Gaussian Blur method is adjusted the fog-level of those area images.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101765908A CN101764925B (en) | 2008-12-25 | 2008-12-25 | Simulation method for shallow field depth of digital image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2008101765908A CN101764925B (en) | 2008-12-25 | 2008-12-25 | Simulation method for shallow field depth of digital image |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101764925A CN101764925A (en) | 2010-06-30 |
| CN101764925B true CN101764925B (en) | 2011-07-13 |
Family
ID=42495899
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2008101765908A Expired - Fee Related CN101764925B (en) | 2008-12-25 | 2008-12-25 | Simulation method for shallow field depth of digital image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101764925B (en) |
Families Citing this family (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI532009B (en) * | 2010-10-14 | 2016-05-01 | 華晶科技股份有限公司 | Method and apparatus for generating image with shallow depth of field |
| CN102158648B (en) * | 2011-01-27 | 2014-09-10 | 明基电通有限公司 | Image capturing device and image processing method |
| JP5377537B2 (en) * | 2011-02-10 | 2013-12-25 | 株式会社エヌ・ティ・ティ・ドコモ | Object display device, object display method, and object display program |
| CN102801908A (en) * | 2011-05-23 | 2012-11-28 | 联咏科技股份有限公司 | Shallow depth-of-field simulation method and digital camera |
| CN102811309A (en) * | 2011-05-31 | 2012-12-05 | 华晶科技股份有限公司 | Method and device for generating shallow depth-of-field image |
| CN103426143B (en) * | 2012-05-24 | 2016-07-27 | 晨星软件研发(深圳)有限公司 | Image editing method and relevant fuzzy parameter method for building up |
| US20130342735A1 (en) * | 2012-06-20 | 2013-12-26 | Chen-Hung Chan | Image processing method and image processing apparatus for performing defocus operation according to image alignment related information |
| US8994809B2 (en) * | 2012-07-19 | 2015-03-31 | Sony Corporation | Method and apparatus for simulating depth of field (DOF) in microscopy |
| CN102957871A (en) * | 2012-11-06 | 2013-03-06 | 广东欧珀移动通信有限公司 | Field depth processing method for shot image of mobile terminal |
| CN103945210B (en) * | 2014-05-09 | 2015-08-05 | 长江水利委员会长江科学院 | A kind of multi-cam image pickup method realizing shallow Deep Canvas |
| CN105303514B (en) | 2014-06-17 | 2019-11-05 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN105450943B (en) * | 2014-09-25 | 2018-11-02 | 聚晶半导体股份有限公司 | Generate method and image acquiring device that image dissipates scape effect |
| CN104333700B (en) * | 2014-11-28 | 2017-02-22 | 广东欧珀移动通信有限公司 | Image blurring method and image blurring device |
| CN105847664B (en) * | 2015-07-31 | 2019-01-29 | 维沃移动通信有限公司 | A kind of method and apparatus that mobile terminal is taken pictures |
| CN105163042B (en) * | 2015-08-03 | 2017-11-03 | 努比亚技术有限公司 | A kind of apparatus and method for blurring processing depth image |
| US10284835B2 (en) | 2015-09-04 | 2019-05-07 | Apple Inc. | Photo-realistic shallow depth-of-field rendering from focal stacks |
| CN105227838B (en) * | 2015-09-28 | 2018-07-06 | 广东欧珀移动通信有限公司 | A kind of image processing method and mobile terminal |
| CN105262952A (en) * | 2015-10-23 | 2016-01-20 | 努比亚技术有限公司 | Mobile terminal and image processing method thereof |
| CN105592266A (en) * | 2015-12-22 | 2016-05-18 | 歌尔声学股份有限公司 | Bokeh image processing method and system |
| US10003732B2 (en) | 2016-02-25 | 2018-06-19 | Foodim Ltd | Depth of field processing |
| CN106060423B (en) * | 2016-06-02 | 2017-10-20 | 广东欧珀移动通信有限公司 | Blur photograph generation method, device and mobile terminal |
| CN105933589B (en) * | 2016-06-28 | 2019-05-28 | Oppo广东移动通信有限公司 | A kind of image processing method and terminal |
| CN106101542B (en) * | 2016-06-28 | 2019-05-10 | Oppo广东移动通信有限公司 | A kind of image processing method and terminal |
| CN106600525A (en) * | 2016-12-09 | 2017-04-26 | 宇龙计算机通信科技(深圳)有限公司 | Picture fuzzy processing method and system |
| CN107454332B (en) * | 2017-08-28 | 2020-03-10 | 厦门美图之家科技有限公司 | Image processing method and device and electronic equipment |
| CN110009555B (en) * | 2018-01-05 | 2020-08-14 | Oppo广东移动通信有限公司 | Image blurring method and device, storage medium and electronic equipment |
| CN110324532B (en) * | 2019-07-05 | 2021-06-18 | Oppo广东移动通信有限公司 | Image blurring method and device, storage medium and electronic equipment |
| CN111246092B (en) * | 2020-01-16 | 2021-07-20 | Oppo广东移动通信有限公司 | Image processing method, image processing device, storage medium and electronic equipment |
| CN116074624B (en) * | 2022-07-22 | 2023-11-10 | 荣耀终端有限公司 | Focusing method and device |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1652010A (en) * | 2004-02-02 | 2005-08-10 | 光宝科技股份有限公司 | Image taking apparatus for taking accuracy focusing image and its method |
| CN101221341A (en) * | 2007-01-08 | 2008-07-16 | 华晶科技股份有限公司 | Initialization method for field depth composition |
-
2008
- 2008-12-25 CN CN2008101765908A patent/CN101764925B/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1652010A (en) * | 2004-02-02 | 2005-08-10 | 光宝科技股份有限公司 | Image taking apparatus for taking accuracy focusing image and its method |
| CN101221341A (en) * | 2007-01-08 | 2008-07-16 | 华晶科技股份有限公司 | Initialization method for field depth composition |
Non-Patent Citations (1)
| Title |
|---|
| JP特开2006-18246A 2006.01.19 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101764925A (en) | 2010-06-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101764925B (en) | Simulation method for shallow field depth of digital image | |
| WO2018201809A1 (en) | Double cameras-based image processing device and method | |
| JP5871862B2 (en) | Image blur based on 3D depth information | |
| WO2017045558A1 (en) | Depth-of-field adjustment method and apparatus, and terminal | |
| US10827107B2 (en) | Photographing method for terminal and terminal | |
| CN105227857B (en) | A kind of method and apparatus of automatic exposure | |
| CN104580878A (en) | Automatic effect method for photography and electronic apparatus | |
| CN105635565A (en) | Shooting method and equipment | |
| CN106550184A (en) | Photo processing method and device | |
| CN103763477A (en) | Double-camera after-shooting focusing imaging device and method | |
| CN110324532A (en) | A kind of image weakening method, device, storage medium and electronic equipment | |
| TW201501533A (en) | Method for adjusting focus position and electronic apparatus | |
| US11756221B2 (en) | Image fusion for scenes with objects at multiple depths | |
| CN104394326A (en) | Photometry method and terminal | |
| WO2022193288A1 (en) | Image processing method and apparatus, and computer readable storage medium | |
| US11871123B2 (en) | High dynamic range image synthesis method and electronic device | |
| CN112085686A (en) | Image processing method, image processing device, electronic equipment and computer readable storage medium | |
| CN110049240A (en) | Camera control method, device, electronic equipment and computer readable storage medium | |
| US10212341B2 (en) | Mobile electronic device with multiple cameras | |
| CN101472064A (en) | Filming system and method for processing scene depth | |
| WO2016202073A1 (en) | Image processing method and apparatus | |
| KR20150032764A (en) | Method and image capturing device for generating artificially defocused blurred image | |
| TWI390965B (en) | Method for stimulating the depth of field of an image | |
| CN113507549A (en) | Camera, photographing method, terminal and storage medium | |
| Johnston et al. | Basic Photographic Concepts |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20110713 Termination date: 20181225 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |