CN102801908A - Shallow depth-of-field simulation method and digital camera - Google Patents

Shallow depth-of-field simulation method and digital camera Download PDF

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CN102801908A
CN102801908A CN2011101339279A CN201110133927A CN102801908A CN 102801908 A CN102801908 A CN 102801908A CN 2011101339279 A CN2011101339279 A CN 2011101339279A CN 201110133927 A CN201110133927 A CN 201110133927A CN 102801908 A CN102801908 A CN 102801908A
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picture element
raw video
focusing
pairing
totalling
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林家合
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Novatek Microelectronics Corp
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Abstract

The invention discloses a shallow depth-of-field simulation method, which is used for a digital camera. The shallow depth-of-field simulation method comprises the following steps of: sensing an object distance corresponding to a focusing pixel; generating an original image according to the object distance; and blurring a plurality of pixels to different degrees according to a plurality of correlative values of the pixels in the original image to generate a shallow depth-of-field image.

Description

Simulation method for shallow field depth and digital camera
Technical field
The present invention relates to a kind of simulation method for shallow field depth and digital camera thereof; Relate in particular to a kind of digital processing mode of utilizing and simulate shallow depth of field image, feasible object image more clear and apart from focusing place far away object image fuzzy simulation method for shallow field depth and the digital camera thereof nearer apart from focusing place.
Background technology
In general; Lens are merely able to light is gathered a certain fixing distance, then can blur gradually away from this point, but in some particular distance; The degree of image fog is that naked eyes can't be discovered; What this segment distance was claimed is that (Depth of field DOF), promptly can know the distance range of imaging to the depth of field as far as human eye.
The common aperture of consumption-orientation digital camera is less, so the depth of field is longer, all can take clearly advantage though can have far and near scape, can't highlight the focusing object.On the contrary, S.L.R can have than large aperture, so the depth of field is more shallow, can make clear but not focusing place, focusing place fuzzy, to reach the effect that highlights shot object.
For instance, please refer to Fig. 1, Fig. 1 is the sketch map that forms images with a large aperture camera lens Len1 and a little circle Len2 respectively in the known technology.As shown in Figure 1; Large aperture camera lens Len1 and little circle Len2 are designed to and can object 2a, the 2b of the object distance D2 of being separated by be just focused on respectively on an egative film 100 and the image sensor 102; Promptly as 2a ', 2b '; Wherein, image sensor 102 can be a charge coupled device (charge coupled device, CCD) image sensor such as transducer.Can know by Fig. 1; Object 1b, the 3b of object 1a, the 3a of an object distance D1 and the object distance D3 of being separated by of being separated by can't just focus on egative film 100 and the image sensor 102 respectively; Therefore the large aperture camera lens Len1 that has the more shallow depth of field can obtain fuzzy picture 1a ', 3a ', can obtain more clearly as 1b ', 3b ' and have the little circle Len2 dark than Vistavision.Must note, known mobile large aperture camera lens Len1 capable of using and little circle Len2, and change the object distance that just focuses on.
Therefore, known digital camera or mobile phone camera often utilize the mode of image processing with image sensor 102 gained partial image obfuscations, use highlighting special article.For instance, on known touch controlled handset camera, the user can click and desire to highlight part in the image, and touch controlled handset phase chance carries out scattering mode with image fogization with circle, promptly more closely heals clear apart from click place and far away fuzzyyer apart from click place; Perhaps the user can select a horizontal line, and touch controlled handset phase chance carries out scattering mode with image fogization with level, promptly more closely heals clear apart from horizontal line and far away fuzzyyer apart from horizontal line.
Yet; Knownly carry out image processing with mode with the partial image obfuscation; Often image is carried out obfuscation with fixed range or fixed mode; Therefore maybe be in fact different in definition after image processing with the equidistant article of digital camera, have the more shallow image of the depth of field and can't really reach the S.L.R large aperture; And general large aperture becomes mutually good camera lens manufacturing to be difficult for, so cost is higher and be not suitable for being used in consumption-orientation digital camera product.
Moreover; The mode that known technology also has employing to take two images carry out image fogization; It is utilize will be wherein image focusing in prospect and another image focusing at background; Then use image processing technique that scenic spot, front and back branch is come, will partly apply mechanically a fog-level corresponding to background then.Yet this way need be taken therefore need the align operation of (align) of two images, just can do follow-up action after need letting two images roughly align when promptly taking two images earlier, therefore increases complexity, and user's operation is also cumbersome; And the image of the method gained has only prospect and two kinds of fog-levels of background, still can't effectively present distance.
Mirror is arranged in above-mentioned shortcoming, known technology is real to have improved necessity, simulates shallow depth of field image to use preferable image fog mode.
Summary of the invention
Therefore, main purpose of the present invention promptly is to provide a kind of simulation method for shallow field depth and digital camera thereof that utilizes the digital processing mode to simulate shallow depth of field image.
The present invention discloses a kind of simulation method for shallow field depth, is used for a digital camera.This simulation method for shallow field depth includes the pairing object distance of detecting one focusing picture element; According to this object distance, produce a raw video; And, these a plurality of picture elements are carried out Fuzzy Processing in various degree, to produce a shallow depth of field image according to a plurality of reduced values of a plurality of picture elements in this raw video.
The present invention also discloses a kind of digital camera, can carry out shallow depth of field simulation.This digital camera includes a camera lens; One transducer is used for producing a raw video according to an object distance; An and image processing chip.This image processing chip includes a detecting unit, is used for detecting pairing this object distance of a focusing picture element; And a processing unit, be used for a plurality of reduced values according to a plurality of picture elements in this raw video, these a plurality of picture elements are carried out Fuzzy Processing in various degree, to produce a shallow depth of field image.
Cooperate detailed description and claims of following diagram, embodiment at this, will on address other purpose of the present invention and advantage and be specified in after.
Description of drawings
Fig. 1 is the sketch map that forms images with a large aperture camera lens and a little circle respectively in the known technology.
Fig. 2 is the sketch map of the embodiment of the invention one digital camera.
Fig. 3 A to the 3C figure is respectively the sketch map of reduced value of the focusing information of different picture elements among Fig. 2.
Fig. 4 is the sketch map of a raw video and a shallow depth of field image among Fig. 2.
Fig. 5 includes the sketch map of a plurality of picture element windows for an image sensor among Fig. 2.
Fig. 6 A to the 6C figure is respectively the sketch map of totalling reduced value of the focusing information of different picture element windows among Fig. 5.
Fig. 7 is the operation chart of a processing unit among Fig. 2.
Fig. 8 is the sketch map of a shallow depth of field simulated technological process in the embodiment of the invention.
Wherein, description of reference numerals is following:
100 egative films
102,204 image sensors
20
202 camera lenses
206 image processing chips
208 detecting units
210 processing units
80 flow processs
800～808 steps
Len1, Len2 camera lens
D1, D2, D3, D1 ', D2 ', D3 ' object distance
1a, 2a, 3a, 1b, 2b, 3b, O 1～O 3Object
1a ', 2a ', 3a ', 1b ', 2b ', 3b ' as
P- 1～P 3, P- 1'～P- 3' picture element
The ORI raw video
CV 1～CV xReduced value
The shallow depth of field image of SDOF
FInfo 1～FInfo 3, FWInfo 1～FWInfo 3Focusing information
MaxCV 1～MaxCV 3The maximum contrast value
PW 1～PW 3The picture element window
MaxSCV 1～MaxSCV 3Maximum totalling reduced value
GBI 1～GBI 4The Gaussian Blur image
Embodiment
Please refer to Fig. 2, Fig. 2 is the sketch map of the embodiment of the invention one digital camera 20.For the sake of clarity, Fig. 2 only shows a camera lens 202, an image sensor 204 and an image processing chip 206 of digital camera 20, and other assembly does not then slightly show.Image processing chip 206 includes a detecting unit 208 and a processing unit 210; Wherein, Image sensor 204 can be a charge coupled device (charge coupled device; CCD) transducer, CMOS (Complementary Metal-Oxide Semiconductor, CMOS) image sensor such as transducer.In simple terms, detecting unit 208 can be detected focusing picture element (pixel) FP (like a picture element P-- 2) a pairing object distance OD (like an object distance D2 ').Then, camera lens 202 remains on the position that the object that makes the object distance OD of being separated by just focuses on image sensor 204, and image sensor 204 produces a raw video ORI at this moment.Processing unit 210 is again according to whole picture element P-among the raw video ORI 1～P xFocusing information FInfo 1～FInfo xReduced value CV 1～CV x, to picture element P- 1～P xCarry out Fuzzy Processing in various degree, to produce a shallow depth of field image SDOF.Thus, the present invention can make equidistant article after image processing, have identical definition, and does not need the large aperture camera lens can produce shallow depth of field image; In addition; Compare at two images of known shooting and produce prospect and two kinds of fog-levels of background to carry out image processing; The present invention only need take a raw video ROI; Can do in various degree fuzzy according to different focus intensity (distance far and near), therefore can more easy-operating mode produce more multimode and stick with paste the shallow depth of field image SDOF of degree, and more press close to the result that true large aperture is taken.
Specifically; Camera lens 202 can move forward and backward to focus automatically; Make detecting unit 208 detect the focusing information FInfo of focusing picture element FP, and the pairing distance of a maximum contrast value MaxCV is the pairing object distance OD of focusing picture element FP among the decision focusing information FInfo.Then, image sensor 204 produces raw video ORI according to object distance OD, and processing unit 210 makes picture element P-among the raw video ORI 1～P xIn pairing focusing information FInfo 1～FInfo xReduced value CV 1～CV xLess picture element is fuzzyyer, to produce shallow depth of field image SDOF.
For instance, please refer to Fig. 3 A to the 3C figure, Fig. 3 A and 3C figure are respectively picture element P--among Fig. 2 1, P-- 2, P 3Focusing information FInfo 1, FInfo 2, FInfo 3Reduced value CV 1, CV 2, CV 3Sketch map.Fig. 3 A to the 3C figure is to utilize camera lens 202 to move forward and backward, the reduced value that just focuses on the object that obtains making the different objects distance (promptly with picture element difference) on every side.Shown in Fig. 3 B, if select picture element P-- 2Be focusing picture element FP, detecting unit 208 can determine the information FInfo that focuses 2In a maximum contrast value MaxCV 2A pairing distance B 2 ' be the pairing object distance OD of focusing picture element FP.In other words, because picture element P-- 2A pairing object O 2With camera lens 202 at interval object distance B 2 ', therefore move forward and backward the object O that makes object distance D2 ' when camera lens 202 2When just focusing on, reduced value CV 2Can be maximum.
Therefore, image sensor 204 is during according to object distance D2 ' generation raw video ORI, picture element P- 2Pairing reduced value CV 2Maximum (as 255), and picture element P- 3Pairing reduced value CV 3Secondly (as 192), and picture element P- 1Pairing reduced value CV 1Minimum (as 128).In the case, please refer to Fig. 4, Fig. 4 is the sketch map of raw video ORI and shallow depth of field image SDOF among Fig. 2.As shown in Figure 4, processing unit 210 makes picture element P-among the raw video ORI 2It is clear to keep, picture element P- 3Fuzzy a little, and picture element P- 1The fuzzyyest, to produce the picture element P-of shallow depth of field image SDOF 1'～P- 3'.Thus; The present invention can make equidistant article after image processing, have identical definition; And do not need the large aperture camera lens can produce shallow depth of field image; Therefore can more easy-operating mode produce the more shallow depth of field image SDOF of multimode paste degree, and more press close to the result that true large aperture is taken.
It should be noted that main spirit of the present invention is to utilize the pairing object distance OD of focusing information detecting focusing picture element FP, produce raw video OI more according to this, then by processing unit 210 according to whole picture element P-among the raw video ORI 1～P xFocusing information FInfo 1～FInfo xReduced value CV 1～CV x, to picture element P- 1～P xCarry out Fuzzy Processing in various degree, to produce shallow depth of field image SDOF.Those of ordinary skills are when modifying according to this or change and be not limited thereto.For instance, focusing picture element FP is not limited to picture element P-- 2, and can be picture element P-- 1, picture element P-- 3, picture element such as a central point picture element or the pairing picture element of the clear article of a desire; The pairing object distance OD of detecting focusing picture element FP also is not limited to moving lens 202, and MaxCV judges by the maximum contrast value, and can be other distance measurement method; In addition, owing to whole picture element P-in the common coverage in practical application 1～P xQuantity quite big, and unlike 3 points are only arranged in the foregoing description, therefore in order to reduce the complexity in the enforcement, also can be with picture element P- 1～P xDivide picture element window PW to image sensor 204 1～PW y, and focusing picture element FP position is at a focusing picture element window FPW.
Specifically; Camera lens 202 can move forward and backward to focus automatically; Make detecting unit 208 detect the focusing information FWInfo of focusing picture element window FPW, and the pairing distance of a maximum totalling reduced value MaxSCV is the pairing object distance OD of focusing picture element window FPW among the decision focusing information FWInfo.Then, image sensor 204 produces raw video ORI according to object distance OD.Processing unit 210 raw video ORI carry out Gaussian Blur (Gaussian blur) in various degree, to produce Gaussian Blur image GBI respectively 1～GBI z, and according to picture element window PW among the raw video ORI 1～PW yTotalling reduced value SCV 1～SCV y, with raw video ORI and Gaussian Blur image GBI 1～GBI zApply mechanically picture element window PW 1～PW y, to produce shallow depth of field image SDOF.
Please refer to Fig. 5, Fig. 5 includes picture element window PW for image sensor 204 among Fig. 2 1～PW yThe sketch map of (like 4*4 picture element window).For instance, please refer to Fig. 6 A to the 6C figure, Fig. 6 A and 6C figure are respectively picture element window PW among Fig. 5 1～PW 3(comprise picture element P--respectively 1, P-- 2, P 3) focusing information FWInfo 1, FWInfo 2, FWInfo 3Totalling reduced value SCV 1, SCV 2, SCV 3Sketch map.Fig. 6 A to the 6C figure is to utilize camera lens 202 to move forward and backward, the totalling reduced value that just focuses on the object that obtains making the different objects distance (being each picture element and picture element difference totalling on every side in the picture element window).Shown in Fig. 6 B, if select picture element window PW 2Be focusing picture element FPW, detecting unit 208 can determine the information FWInfo that focuses 2In a maximum totalling reduced value MaxSCV 2Pairing distance B 2 ' be the pairing object distance OD of focusing picture element FPW.In other words, because picture element window PW 2In pairing object mostly with camera lens 202 at interval object distance B 2 ', so move forward and backward the object that makes object distance D2 ' when just focusing on, totalling reduced value SCV when camera lens 202 2Can be maximum.
Therefore, image sensor 204 is during according to object distance D2 ' generation raw video ORI, picture element window PW- 2Pairing totalling reduced value SCV 2Maximum (as 255), and picture element window PW- 3Pairing totalling reduced value SCV 3Secondly (as 192), and picture element window PW- 1Pairing totalling reduced value SCV 1Minimum (as 128).In the case, please refer to Fig. 7, Fig. 7 is the operation chart of processing unit 210 among Fig. 2.As shown in Figure 7,210 couples of raw video ORI of processing unit carry out Gaussian Blur (Gaussian blur) in various degree, to produce Gaussian Blur image GBI respectively 1～GBI 4(Gaussian Blur image GBI 1The clearest and Gaussian Blur image GBI 4The fuzzyyest), and according to picture element window PW among the raw video ORI 1～PW yTotalling reduced value SCV 1～SCV y, with raw video ORI and Gaussian Blur image GBI 1～GBI 4Apply mechanically picture element window PW 1～PW y, to produce shallow depth of field image SDOF.
In detail, processing unit 210 is with raw video ORI and Gaussian Blur image GBI 1～GBI 4Correspond respectively to specific totalling reduced value SSCV 1～SSCV a(as being 255,192,128,64,0), and according to picture element window PW among the raw video ORI 1～PW yTotalling reduced value totalling reduced value SCV 1～SCV yAnd specific totalling reduced value SSCV 1～SSCV a, with raw video ORI and Gaussian Blur image GBI 1～GBI 4Apply mechanically picture element window PW 1～PW y, to produce shallow depth of field image SDOF.For instance, if picture element window PW- 1～PW- 3Pairing totalling reduced value SCV 1～SCV 3Be respectively 128,255,192, then can be respectively with Gaussian Blur image GBI 2, raw video ORI, Gaussian Blur image GBI 1Apply mechanically picture element window PW- 1～PW- 3To obtain the picture element window PW-of shallow depth of field image SDOF 1'～PW- 3' thus; The present invention can make equidistant article after image processing, have identical definition; And do not need the large aperture camera lens can produce shallow depth of field image; Therefore can more easy-operating mode produce the more shallow depth of field image SDOF of multimode paste degree, and more press close to the result that true large aperture is taken.
Must note, if a picture element window PW- 4A pairing totalling reduced value SCV 4Be 224, though raw video ORI and Gaussian Blur image GBI 1～GBI 4Pairing totalling reduced value SCV 1～SCV 3Directly not corresponding, but can be with raw video ORI and Gaussian Blur image GBI 1Insert in carrying out with 1: 1 and apply mechanically picture element window PW- 4In addition, for avoiding picture element window PW 1～PW yWindow edge change excessive and distortion or sharp keen excessively (higher like totalling reduced value in the picture element window, the picture element that then the window edge reduced value is lower also can be more clear), processing unit 210 more can be with the picture element window PW that has applied mechanically 1～PW yWindow edge carry out alpha blended (alpha blending); Insert in promptly two window edges carry out; To produce shallow depth of field image SDOF; Make that at the higher picture element window of totalling reduced value the picture element that its window edge reduced value is lower can blur and approximate another lower picture element window of adjacent totalling reduced value.
Therefore, the shallow depth of field simulated operation of digital camera 20 can reduce a shallow depth of field simulated technological process 80, and as shown in Figure 8, it may further comprise the steps:
Step 800: beginning.
Step 802: the pairing object distance OD of detecting focusing picture element FP.
Step 804:, produce raw video ORI according to object distance OD.
Step 806: the reduced value CV1～CVx according to focusing information FInfo1～FInfox of picture element P-1～Px among the raw video ORI, carry out Fuzzy Processing in various degree to picture element P-1～Px, to produce shallow depth of field image SDOF.
Step 808: finish.
The detailed content of shallow depth of field simulated technological process 80 can repeat no more at this with reference to above-mentioned associated component explanation.
Known technology carries out obfuscation to image with fixed range or fixed mode, therefore maybe be in fact different in definition after image processing with the equidistant article of digital camera, have the more shallow image of the depth of field and can't really reach the S.L.R large aperture; And general large aperture becomes mutually good camera lens manufacturing to be difficult for, so cost is higher and be not suitable for being used in consumption-orientation digital camera product; Mode to take two images is carried out the operation that image fogization then need be alignd, thereby increases complexity, and it only can produce prospect and two kinds of fog-levels of background.In comparison, the present invention carries out Fuzzy Processing in various degree according to reduced value relevant with distance in the focusing information to picture element; To produce shallow depth of field image; Therefore can make equidistant article after image processing, have identical definition, and not need the large aperture camera lens can produce shallow depth of field image, thereby can do in various degree fuzzy according to the different distance distance; And produce the more shallow depth of field image of multimode paste degree with more easy-operating mode, make it more press close to the result that true large aperture is taken.
The above is merely the preferred embodiments of the present invention, and all equalizations of doing according to claim of the present invention change and modify, and all should belong to covering scope of the present invention.

Claims (16)

1. a simulation method for shallow field depth is used for a digital camera, it is characterized in that, includes:
The pairing object distance of detecting one focusing picture element;
According to this object distance, produce a raw video; And
According to a plurality of picture elements in this raw video a plurality of first the focusing information a plurality of reduced values, these a plurality of picture elements are carried out Fuzzy Processing in various degree, to produce a shallow depth of field image.
2. simulation method for shallow field depth as claimed in claim 1 is characterized in that, the step of detecting pairing this object distance of this focusing picture element includes:
Move a camera lens of this digital camera, to detect one first focusing information of this focusing picture element; And determine that a maximum contrast is worth pairing one first apart from being pairing this object distance of this focusing picture element in this first focusing information.
3. simulation method for shallow field depth as claimed in claim 1; It is characterized in that; According to these a plurality of reduced values of this a plurality of focusing information of these a plurality of picture elements in this raw video, these a plurality of picture elements are carried out Fuzzy Processing in various degree, include with the step that produces this shallow depth of field image:
Make in this raw video the less picture element of these a plurality of reduced values of pairing these a plurality of focusing information in these a plurality of picture elements fuzzyyer, to produce this shallow depth of field image.
4. simulation method for shallow field depth as claimed in claim 1 is characterized in that, also includes:
Should divide to a plurality of picture element windows by a plurality of picture elements, and the picture element position of should focusing is at a focusing picture element window.
5. simulation method for shallow field depth as claimed in claim 4 is characterized in that, the step of detecting pairing this object distance of this focusing picture element includes:
Move a camera lens of this digital camera, to detect one second focusing information of this focusing picture element window; And
Determine that the pairing second distance of a maximum totalling reduced value is pairing this object distance of this focusing picture element window in this second focusing information.
6. simulation method for shallow field depth as claimed in claim 5; It is characterized in that; According to these a plurality of reduced values of this a plurality of focusing information of these a plurality of picture elements in this raw video, these a plurality of picture elements are carried out Fuzzy Processing in various degree, include with the step that produces this shallow depth of field image:
This raw video is carried out Gaussian Blur in various degree, to produce a plurality of Gaussian Blur images respectively; And
According to a plurality of totalling reduced values of these a plurality of picture element windows in this raw video, apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images, to produce this shallow depth of field image.
7. simulation method for shallow field depth as claimed in claim 6; It is characterized in that; According to these a plurality of totalling reduced values of these a plurality of picture element windows in this raw video, apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images, include with the step that produces this shallow depth of field image:
This raw video and these a plurality of Gaussian Blur images are corresponded respectively to a plurality of specific totalling reduced values; And
According to these a plurality of totalling reduced values and these a plurality of specific totalling reduced values of these a plurality of picture element windows in this raw video, apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images, to produce this shallow depth of field image.
8. simulation method for shallow field depth as claimed in claim 6; It is characterized in that; According to these a plurality of totalling reduced values of these a plurality of picture element windows in this raw video, apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images, include with the step that produces this shallow depth of field image:
According to these a plurality of totalling reduced values of these a plurality of picture element windows in this raw video, apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images; And
A plurality of window edges between these a plurality of picture element windows of having applied mechanically are carried out alpha blended, to produce this shallow depth of field image.
9. a digital camera can carry out shallow depth of field simulation, it is characterized in that, includes:
One camera lens;
One image sensor is used for producing a raw video according to an object distance; And
One image processing chip includes:
One detecting unit is used for detecting pairing this object distance of a focusing picture element; And
One processing unit is used for a plurality of reduced values according to a plurality of focusing information of a plurality of picture elements in this raw video, these a plurality of picture elements is carried out Fuzzy Processing in various degree, to produce a shallow depth of field image.
10. digital camera as claimed in claim 9; It is characterized in that; This camera lens moves the one first focusing information of this this focusing picture element of detecting unit detecting that makes, and determines that a maximum contrast is worth pairing one first apart from being pairing this object distance of this focusing picture element in this first focusing information.
11. digital camera as claimed in claim 9 is characterized in that, this processing unit makes in this raw video the less picture element of these a plurality of reduced values of pairing these a plurality of focusing information in these a plurality of picture elements fuzzyyer, to produce this shallow depth of field image.
12. digital camera as claimed in claim 9 is characterized in that, these a plurality of picture elements divide a plurality of picture element windows to this image sensor, and the picture element position of should focusing is at a focusing picture element window.
13. digital camera as claimed in claim 12; It is characterized in that; This camera lens moves the one second focusing information of this this focusing picture element window of detecting unit detecting that makes, and determines that the pairing second distance of a maximum totalling reduced value is pairing this object distance of this focusing picture element window in this second focusing information.
14. digital camera as claimed in claim 13; It is characterized in that; This processing unit carries out Gaussian Blur in various degree to this raw video, producing a plurality of Gaussian Blur images respectively, and according to a plurality of totalling reduced values of these a plurality of picture element windows in this raw video; Apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images, to produce this shallow depth of field image.
15. digital camera as claimed in claim 14; It is characterized in that; This processing unit corresponds respectively to a plurality of specific totalling reduced values with this raw video and these a plurality of Gaussian Blur images; And, apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images according to these a plurality of totalling reduced values of these a plurality of picture element windows in this raw video and this a plurality of specific totalling reduced values, with this shallow depth of field image of generation.
16. digital camera as claimed in claim 13; It is characterized in that; This processing unit is according to these a plurality of totalling reduced values of these a plurality of picture element windows in this raw video; Apply mechanically this a plurality of picture element windows with this raw video and these a plurality of Gaussian Blur images, and a plurality of window edges carry out alpha blended between these a plurality of picture element windows that will apply mechanically, to produce this shallow depth of field image.
CN2011101339279A 2011-05-23 2011-05-23 Shallow depth-of-field simulation method and digital camera Pending CN102801908A (en)

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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
CN105227838A (en) * 2015-09-28 2016-01-06 广东欧珀移动通信有限公司 A kind of image processing method and mobile terminal
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
WO2019052338A1 (en) * 2017-09-13 2019-03-21 腾讯科技（深圳）有限公司 Image processing method and apparatus, storage medium, and electronic device
US11288774B2 (en) 2017-09-13 2022-03-29 Tencent Technology (Shenzhen) Company Limited Image processing method and apparatus, storage medium, and electronic apparatus

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Application publication date: 20121128