CN101778212B - Automatic focusing method in strong noise environment and device thereof - Google Patents
Automatic focusing method in strong noise environment and device thereof Download PDFInfo
- Publication number
- CN101778212B CN101778212B CN2009100015684A CN200910001568A CN101778212B CN 101778212 B CN101778212 B CN 101778212B CN 2009100015684 A CN2009100015684 A CN 2009100015684A CN 200910001568 A CN200910001568 A CN 200910001568A CN 101778212 B CN101778212 B CN 101778212B
- Authority
- CN
- China
- Prior art keywords
- microprocessor
- photo
- focusing
- sensitive cell
- image
- 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)
- Focusing (AREA)
- Automatic Focus Adjustment (AREA)
Abstract
The invention discloses an automatic focusing method in a strong noise environment and a device thereof, which determine the focusing distance of a digital capture device for a shot object. The automatic focusing method comprises the following steps of: respectively capturing M images to be shot at different object distances; loading the images to be shot; superposing each N (N is less than M) images to be shot to generate (M-N+1) synthetized images; redefining the object distances which correspond to the (M-N+1) synthetized images; calculating the high-frequency signals of the (M-N+1) synthetized images in a focusing area; determining the best focusing object distance according to the relation between the high-frequency signals and the corresponding object distances thereof; and moving an automatic focusing lens to the best focusing object distance to complete focusing.
Description
Technical field
The present invention relates to a kind of automatic focusing method and device thereof, particularly relate to the automatic focusing method and the device thereof that are under the high-noise environment.
Background technology
Along with the development of digital camera, make that photography no longer is expensive consumption.The user can be random the desired image of shooting, in order to write down memorable a moment or scene.Generally speaking, so all can focus on the theme for highlighting main body when taking.In other words, exactly shooting focal length is aimed on the subject.So in most camera, all possessed the function of automatic focusing.
Existing focusing technology; Please refer to shown in Fig. 1 a; Take the photograph corresponding image in advance in different object distances; Then calculate the high-frequency signal in each preparatory photogra focusing frame, can obtain high-frequency signal shown in Fig. 1 b, utilize the technology of existing curve approximation (Curve fitting) to determine the best focusing position the relation of its corresponding object distance.But when low light source environment was taken, circuit need amplify signal used the image that obtains correct exposure.But the noise in the image also can be exaggerated, and makes be mingled with actual signal and noise simultaneously in the high-frequency signal, usually causes the focusing failure when serious.Shown in Fig. 1 b, under interference of noise, high-frequency signal does not usually have tangible universe maximum (Global maximum) to the relation of its corresponding object distance.Cause automatic focusing program can't determine the best focusing position so easily, or determine wrong focusing position.
If will increase the success rate of focusing, one of method is the noise of reduction system under this situation.The for example higher element of service quality, manufacturing process or increase the layout number of plies of printed circuit board (PCB), however in any case reduce noise, noise still can be amplified by higher yield value (gain), and this often means that cost improves still more.One of another kind method is to develop more superior denoising algorithm, yet its denoising ability still has its restriction, and will superior algorithm be made circuit, and it incurs a considerable or great expense.Therefore the focusing success rate that improves under the high-noise environment like how lower cost is still the target that many research staff make great efforts.
Summary of the invention
In view of above problem, main purpose of the present invention is to provide a kind of automatic focusing method under high-noise environment.
For reaching above-mentioned purpose, the present invention proposes a kind of automatic focusing method under high-noise environment, it is characterized in that in order to determine the focusing object distance of a digital image capture device at least one object this focusing method automatically comprises the following steps:
When different object distances, capture corresponding one preparatory photogra respectively;
Be written into these preparatory photogras;
These preparatory photogras that superpose respectively, and produce a resultant image;
Calculate a homologue distance of this resultant image;
Calculate the high-frequency signal of at least one part pixel in this resultant image; And
Utilize high-frequency signal and its this homologue distance of this resultant image, as a reference data with decision to this focusing object distance of this object.
Described automatic focusing method under high-noise environment, wherein, this high-frequency signal is calculated by utilizing high pass filter, band pass filter, Fu Liye conversion, discrete cosine transform or discrete wavelet conversion.The present invention provides a kind of digital image capture device that under high-noise environment, has automatic focusing, and it is used to determine the focusing of this digital image capture device and object to leave.
The present invention provides a kind of digital image capture device that under high-noise environment, has automatic focusing, and it is used to determine the focusing of this digital image capture device and object to leave.
For reaching above-mentioned purpose, the present invention also proposes a kind of device that under high-noise environment, has automatic focusing, and the focusing object distance that it is used to determine at least one object is characterized in that, this device of focusing automatically includes:
One memory cell is in order to store many at a preparatory photogra that different object distances captured;
One microprocessor is electrically connected at this memory cell, and this microprocessor is in order to load these preparatory photogras;
One image superpositing unit, it is arranged in this microprocessor and is controlled by this microprocessor, and this image superpositing unit becomes image in order to these preparatory photogras that superpose to produce many opening and closing;
One object distance is reseted the unit, and it is arranged in this microprocessor and is controlled by this microprocessor, and this object distance is reseted the unit in order to calculate a homologue distance of each this resultant image, obtains the identical a plurality of homologue distances of these resultant image quantity; And
One high-frequency signal computing unit, it is arranged in this microprocessor and is controlled by this microprocessor, in order to calculate the high-frequency signal of at least one part pixel in each this resultant image, obtains a plurality of high-frequency signals identical with these resultant image quantity;
Wherein, this microprocessor utilizes these high-frequency signals and these homologues apart from the focusing object distance that determines this object.
The described device that under high-noise environment, has automatic focusing; Wherein, Also comprise an autofocus lens and an autofocus lens sequential control circuit; This autofocus lens sequential control circuit is electrically connected at this autofocus lens and this microprocessor, and this autofocus lens sequential control circuit receives at least one control indication that this microprocessor sent, and then drives this autofocus lens.
The described device that under high-noise environment, has automatic focusing; Wherein, Also comprise a photo-sensitive cell and a photo-sensitive cell sequential control circuit, this photo-sensitive cell sequential control circuit is electrically connected at this photo-sensitive cell and this microprocessor, this this photo-sensitive cell sequential control circuit of microprocessor control; Drive at least one control signal of this photo-sensitive cell in order to generation, and then make this photo-sensitive cell produce at least one analog signal.
The described device that under high-noise environment, has automatic focusing; Wherein, Also comprise an analog digital conversion processing circuit, it is electrically connected at this photo-sensitive cell, this photo-sensitive cell sequential control circuit and this memory cell, and this analog digital conversion processing circuit receives the control of this photo-sensitive cell sequential control circuit and this microprocessor; In order to the analog signal conversion that this photo-sensitive cell is seen off is digital signal, and this digital signal is stored to this memory cell.
The described device that under high-noise environment, has automatic focusing; Wherein, Also comprise an automatic exposure parameter determining and a control unit; It is arranged in this microprocessor, in order to the environment captured according to this digital image capture device, determines one of them person at least of time for exposure, aperture size and ISO value when this object is taken.
The described device that under high-noise environment, has automatic focusing, wherein, this high-frequency signal computing unit is high pass filter, band pass filter, Fu Li leaf converting unit, discrete cosine transform unit or discrete wavelet transform unit.
Describe the present invention below in conjunction with accompanying drawing and specific embodiment, but not as to qualification of the present invention.
Description of drawings
Fig. 1 a is that prior art utilizes many images to calculate the sketch map of high-frequency signal;
Fig. 1 b is that object distance and the high-frequency signal that prior art is produced under high-noise environment concerns sketch map;
Fig. 2 a is a principle schematic of the present invention;
Fig. 2 b concerns sketch map for the present invention at the object distance and the high-frequency signal of high-noise environment;
Fig. 3 is a configuration diagram of the present invention;
Fig. 4 is the sketch map of a preferred embodiment of automatic focusing flow process under the high-noise environment of the present invention;
Fig. 5 is another preferred embodiment of focusing flow process automatically under the high-noise environment of the present invention.
Wherein, Reference numeral:
300 digital image capture devices
310 autofocus lenses
320 autofocus lens sequential control circuits
330 photo-sensitive cells
340 photo-sensitive cell sequential control circuits
350 analog digital conversion processing circuit
360 memory cell
370 microprocessors
371 automatic exposure parameter determining and control units
372 image superpositing units
373 object distances are reseted the unit
374 high-frequency signal computing units
375 best focusing determining positions unit
Embodiment
Below in conjunction with accompanying drawing and embodiment technical scheme of the present invention is made further more detailed description.
For clearly demonstrating basic operation workflow of the present invention, please refer to shown in Fig. 2 a, capture preparatory photogra M M different object distances at first respectively and open, each opens preparatory photogra P
MAll has corresponding M object distance position; M=8 in Fig. 2 a.Be written into preparatory photogra; Every N continuous is opened (N＜M) photogra generation (M-N+1) opening and closing that superpose in advance becomes image; N=2 in Fig. 2 a.After this image overlap-add, the noise of resultant image can reduce many, and the success rate of focusing just can significantly promote automatically.Be example in the present invention with M=8, therefore in Fig. 2 a, obtain the first preparatory photogra P respectively
1, the second preparatory photogra P
2, the 3rd preparatory photogra P
3, the 4th preparatory photogra P
4, the 5th preparatory photogra P
5, the 6th preparatory photogra P
6, the 7th preparatory photogra P
7With the 8th preparatory photogra P
8
Next, define these (M-N+1) opening and closing again and become the corresponding object distance of image; Its method is the first preparatory photogra P
1Object distance be S
1, the second preparatory photogra P
2Object distance be S
2, the first preparatory photogra P then
1With the second preparatory photogra P
2The first resultant image P that is formed by stacking
1'.The first resultant image P
1' be that synthetic is apart from S
1' be S
1With S
2Center of gravity, that is S
1'=(S
1+ S
2)/2.After object distance resets, then obtain the first resultant image P respectively
1', the second resultant image P
2' ... with (M+N+1) resultant image P
(M-N+1)' the corresponding synthetic of institute is apart from S
1', S
2' ... ..S
(M-N+1)'.Therefore, can obtain the first resultant image P
1', the second resultant image P
2', the 3rd resultant image P
3', the 4th resultant image P
4', pentahapto becomes image P
5', the six directions becomes image P
6' and the 7th resultant image P
7'.
Subsequently, calculate these resultant images (P
1'～P
7') high-frequency signal; So just can obtain the high-frequency signal object distance relation corresponding of the resultant image shown in Fig. 2 b with it; Because it is many that the noise of resultant image has been lowered; Therefore the exhausted major part in the source of high-frequency signal is the details of shot object; Rather than high-frequency noise, therefore can obtain shown in Fig. 1 b, having more the curve of clear and definite best focusing position compared to the resulting relation curve of prior art.Automatically the success rate of focusing just can significantly promote.At last again according to these resultant images (P
1'～P
7') high-frequency signal object distance corresponding relation with it, determine the corresponding focusing object distance of high-frequency signal maximum.
On reality is implemented, please refer to shown in Figure 3ly, it is a configuration diagram of the present invention.Include in the digital image capture device 300 of the present invention: autofocus lens 310, autofocus lens sequential control circuit 320, photo-sensitive cell 330, photo-sensitive cell sequential control circuit 340, analog digital conversion processing circuit 350, memory cell 360 and microprocessor 370.
Autofocus lens 310 is electrically connected at autofocus lens sequential control circuit 320.Autofocus lens 310 is in order to the object distance between adjustment digital image capture device 300 and object.Autofocus lens sequential control circuit 320 is electrically connected at microprocessor 370, and the control indication that reception microprocessor 370 sends is to drive autofocus lens 310.Autofocus lens 310 is moved in autofocus lens sequential control circuit 320 control, and with the environment that is taken and object image-forming on photo-sensitive cell 330.Photo-sensitive cell 330 is a kind of photo-electric conversion element, and it is in order to the optical signalling of records photographing environment and object, and converts this optical signalling into the signal of telecommunication.Photo-sensitive cell 330 can for example be a charge coupled device (charge-coupled device is called for short CCD) or a complementary metal oxide layer semiconductor (ComplementaryMetal-Oxide-Semiconductor is called for short CMOS).
Photo-sensitive cell 330 is in order to the quilt brightness of taking the photograph environment and object of record digital image capture device 300, and the brightness transition of object is become electric signal.Photo-sensitive cell sequential control circuit 340 is electrically connected between photo-sensitive cell 330 and the microprocessor 370, and accepts the control signal of the control generation driving photo-sensitive cell 330 of microprocessor 370, and then makes photo-sensitive cell 330 produce at least one analog signal.Analog digital conversion processing circuit 350 is electrically connected at photo-sensitive cell 330, photo-sensitive cell sequential control circuit 340 and memory cell 360; And the analog signal conversion that photo-sensitive cell 330 is seen in the control of accepting photo-sensitive cell sequential control circuit 340 off is digital signal, is sent to memory cell 360 storages.
When reality is carried out; Automatic exposure parameter determining and control unit 371 can determine suitable exposure parameter according to the environment of taking; Comprise time for exposure, aperture size and sensitization value (International StandardsOrganization is hereinafter to be referred as ISO).Then microprocessor 370 is set the aperture of autofocus lens through autofocus lens sequential control circuit 320; And through photo-sensitive cell sequential control circuit 340 setting time for exposure and ISO values; Utilize these exposure parameters to capture corresponding M and open preparatory photogra, be stored in the memory cell 360 M different object distance.
Then the control image superpositing unit 372, the object distance that are positioned at it reseted unit 373, high-frequency signal computing unit 374 carries out start for microprocessor 370.Image superpositing unit 372 is used the many opening and closing of generation in order to the preparatory photogra that superposes and is become image.Object distance is reseted unit 373 in order to calculate the homologue distance of each resultant image, obtains the identical a plurality of homologue distances of resultant image quantity.High-frequency signal computing unit 374 is in order to calculate the high-frequency signal of at least one part pixel in each resultant image; Obtain a plurality of high-frequency signals identical with resultant image quantity, high-frequency signal computing unit 374 is high pass filter (High-pass filter), band pass filter (Band-pass filter), Fu Liye conversion (Fourier transform) unit, discrete cosine transform (DiscreteCosine Transform) unit or discrete wavelet conversion (Discrete Wavelet Transformation) unit.
Please be simultaneously with reference to shown in Figure 4, it is a high-noise environment of the present invention preferred embodiment of focusing flow process automatically down:
Step S410: utilize 372 decisions of image superpositing unit to be applied the number of preparatory photogra.
Step S420: open preparatory photogra by the continuous N of loading in the memory cell 360 and superpose, become a new resultant image, and in the write storage unit 360.
Step S430: judge whether that then the preparatory photogra that last group N opens is applied.If not repeating step S420 then is till all every continuous N open preparatory photogra and all are applied.
Step S440: reset unit 373 through object distance and calculate the object distance that these (M-N+1) opening and closing become every of image.
Step S450: utilize high-frequency signal computing unit 374 to calculate the high-frequency signal that these (M-N+1) opening and closing become image.
Step S460: the focusing object distance that decision is best, the high-frequency signal object distance relation corresponding with it that it becomes image according to these (M-N+1) opening and closing is to determine the corresponding focusing object distance of high-frequency signal maximum.
Step S470: autofocus lens 310 is moved on to this position, accomplish focusing.
The present invention supposes that digitized video is that N opens (N＜M).Wherein, decision is foundation by the number of the preparatory photogra that superposes together by ambient brightness or noise size.In addition, image superpositing unit 372 also can only superpose to the image in the focusing frame in the preparatory photogra.After all preparatory photogras are synthesized, can produce (M-N+1) opening and closing and become image.
Then, reset unit 373 through object distance and calculate the object distance that these (M-N+1) opening and closing become every of image, apart from calculating its center of gravity, and its center of gravity is defined as the object distance of its corresponding resultant image according to the homologue of the preparatory photogra that is applied.Except carrying out the calculating of high-frequency signal, also can for example can in digitized video, set a focusing frame, and the focusing frame is carried out the calculating of high-frequency signal in the present invention only to the part imagery zone for whole numbered image.
Another preferred embodiment of focusing flow process is as shown in Figure 5 automatically down for high-noise environment of the present invention:
Step S510: decision is by the number of the preparatory photogra that superposes together.
Step S520: open preparatory photogra by first group of continuous N of loading in the memory cell 360 and superpose, become a new resultant image.
Step S530: the operation object distance is reseted unit 373, becomes image P in order to calculate first opening and closing
1' object distance, apart from calculating its center of gravity, and its center of gravity is defined as the object distance of its corresponding resultant image according to the homologue of the preparatory photogra that is applied.
Step S540: calculate first opening and closing and become image P
1' the focusing frame in high-frequency signal.
Step S550: judge whether that the preparatory photogra that last group N opens is applied; If not; Then repeated execution of steps S520 opens preparatory photogra until all every continuous N and all is applied to step S540, produces (M-N+1) individual high-frequency signal object distance corresponding with it.
Step S560: the high-frequency signal object distance relation corresponding with it according to these (M-N+1) opening and closing become image determines the corresponding focusing object distance of high-frequency signal maximum.
Step S570: autofocus lens 310 is moved on to this position, accomplish focusing.
In this execution mode, be assumed to N and open (the digitized video of N＜M).Wherein, decision is foundation by the number of the preparatory photogra that superposes together by ambient brightness or noise size.
In step S520, image superpositing unit 372 also can only superpose to the image in the focusing frame in the preparatory photogra.
Certainly; The present invention also can have other various embodiments; Under the situation that does not deviate from spirit of the present invention and essence thereof; Those of ordinary skill in the art work as can make various corresponding changes and distortion according to the present invention, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.
Claims (8)
1. automatic focusing method under high-noise environment, it is characterized in that in order to determine the focusing object distance of a digital image capture device at least one object this focusing method automatically comprises the following steps:
When M different object distances, capture corresponding M respectively and open preparatory photogra;
Be written into these preparatory photogras; Every N continuous is opened generation (M-N+1) opening and closing that superpose of those preparatory photogras become image, wherein N＜M;
Calculate a homologue distance of those resultant images;
Calculate the high-frequency signal of at least one part pixel in those resultant images; And
Utilize high-frequency signal and its this homologue distance of those resultant images, as the maximum corresponding focusing object distance of a reference data with the high-frequency signal that determines those resultant images.
2. the automatic focusing method under high-noise environment according to claim 1 is characterized in that, this high-frequency signal is calculated by utilizing high pass filter, band pass filter, Fu Liye conversion, discrete cosine transform or discrete wavelet conversion.
3. device that under high-noise environment, has automatic focusing, the focusing object distance that it is used to determine at least one object is characterized in that, this automatically device of focusing include:
One memory cell is in order to store many at a preparatory photogra that different object distances captured;
One microprocessor is electrically connected at this memory cell, and this microprocessor is in order to load these preparatory photogras;
One image superpositing unit, it is arranged in this microprocessor and is controlled by this microprocessor, and this image superpositing unit becomes image in order to these preparatory photogras that superpose to produce many opening and closing;
One object distance is reseted the unit, and it is arranged in this microprocessor and is controlled by this microprocessor, and this object distance is reseted the unit in order to calculate a homologue distance of each this resultant image, obtains the identical a plurality of homologue distances of these resultant image quantity; And
One high-frequency signal computing unit, it is arranged in this microprocessor and is controlled by this microprocessor, in order to calculate the high-frequency signal of at least one part pixel in each this resultant image, obtains a plurality of high-frequency signals identical with these resultant image quantity;
Wherein, this microprocessor utilizes these high-frequency signals and these homologues apart from the focusing object distance that determines this object.
4. the device that under high-noise environment, has automatic focusing according to claim 3; It is characterized in that; Also comprise an autofocus lens and an autofocus lens sequential control circuit; This autofocus lens sequential control circuit is electrically connected at this autofocus lens and this microprocessor, and this autofocus lens sequential control circuit receives at least one control indication that this microprocessor sent, and then drives this autofocus lens.
5. the device that under high-noise environment, has automatic focusing according to claim 3; It is characterized in that; Also comprise a photo-sensitive cell and a photo-sensitive cell sequential control circuit, this photo-sensitive cell sequential control circuit is electrically connected at this photo-sensitive cell and this microprocessor, this this photo-sensitive cell sequential control circuit of microprocessor control; Drive at least one control signal of this photo-sensitive cell in order to generation, and then make this photo-sensitive cell produce at least one analog signal.
6. the device that under high-noise environment, has automatic focusing according to claim 5; It is characterized in that; Also comprise an analog digital conversion processing circuit, it is electrically connected at this photo-sensitive cell, this photo-sensitive cell sequential control circuit and this memory cell, and this analog digital conversion processing circuit receives the control of this photo-sensitive cell sequential control circuit and this microprocessor; In order to the analog signal conversion that this photo-sensitive cell is seen off is digital signal, and this digital signal is stored to this memory cell.
7. the device that under high-noise environment, has automatic focusing according to claim 5; It is characterized in that; Also comprise an automatic exposure parameter determining and a control unit; It is arranged in this microprocessor, in order to have the captured environment of device of automatic focusing according to this, determines one of them person at least of time for exposure, aperture size and ISO value when this object is taken.
8. the device that under high-noise environment, has automatic focusing according to claim 5; It is characterized in that this high-frequency signal computing unit is high pass filter, band pass filter, Fu Li leaf converting unit, discrete cosine transform unit or discrete wavelet transform unit.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009100015684A CN101778212B (en) | 2009-01-12 | 2009-01-12 | Automatic focusing method in strong noise environment and device thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2009100015684A CN101778212B (en) | 2009-01-12 | 2009-01-12 | Automatic focusing method in strong noise environment and device thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101778212A CN101778212A (en) | 2010-07-14 |
| CN101778212B true CN101778212B (en) | 2012-05-23 |
Family
ID=42514527
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2009100015684A Expired - Fee Related CN101778212B (en) | 2009-01-12 | 2009-01-12 | Automatic focusing method in strong noise environment and device thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101778212B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103780839B (en) * | 2014-01-21 | 2017-12-15 | 宇龙计算机通信科技(深圳)有限公司 | A kind of photographic method and photo terminal |
| KR102025361B1 (en) * | 2014-07-10 | 2019-09-25 | 한화테크윈 주식회사 | Auto focussing system and method |
| CN105100605A (en) * | 2015-06-18 | 2015-11-25 | 惠州Tcl移动通信有限公司 | Mobile terminal and quick focusing method for photographing with the same |
| CN112882370A (en) * | 2021-01-21 | 2021-06-01 | 南京邮电大学 | Method for obtaining accurate reconstruction distance during automatic focusing of digital holographic imaging |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1212381A (en) * | 1997-08-12 | 1999-03-31 | 三星航空产业株式会社 | Drive method and device for electronic shutter and auto focus control mechanism used in cameras |
| CN1584737A (en) * | 2003-08-19 | 2005-02-23 | 鸿富锦精密工业（深圳）有限公司 | Three-dimensional viewfinder digital camera module |
| CN101236289A (en) * | 2007-02-01 | 2008-08-06 | 致伸科技股份有限公司 | Automatic focusing method |
-
2009
- 2009-01-12 CN CN2009100015684A patent/CN101778212B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1212381A (en) * | 1997-08-12 | 1999-03-31 | 三星航空产业株式会社 | Drive method and device for electronic shutter and auto focus control mechanism used in cameras |
| CN1584737A (en) * | 2003-08-19 | 2005-02-23 | 鸿富锦精密工业（深圳）有限公司 | Three-dimensional viewfinder digital camera module |
| CN101236289A (en) * | 2007-02-01 | 2008-08-06 | 致伸科技股份有限公司 | Automatic focusing method |
Non-Patent Citations (2)
| Title |
|---|
| JP特开2000-28912A 2000.01.28 |
| JP特开2001-141982A 2001.05.25 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN101778212A (en) | 2010-07-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101246541B (en) | Image-processing device and image-processing method, image-pickup device | |
| CN109636754B (en) | Extremely-low-illumination image enhancement method based on generation countermeasure network | |
| CN101309367B (en) | Imaging apparatus | |
| CN101753812B (en) | Imaging apparatus and imaging method | |
| CN101877765B (en) | Image transforming apparatus and method of controlling operation of same | |
| CN101621619A (en) | Shooting method for simultaneously focusing various faces and digital image capture device thereof | |
| CN101778214B (en) | Digital image pick-up device having brightness and focusing compensation function and image compensation method thereof | |
| CN104052931A (en) | Image shooting device, method and terminal | |
| CN105493493B (en) | Photographic device, image capture method and image processing apparatus | |
| CN105100594A (en) | Imaging device and imaging method | |
| CN1829288B (en) | Image pick-up device and image pick-up method | |
| CN103384998A (en) | Imaging device, imaging method, program, and program storage medium | |
| CN104702826A (en) | Image pickup apparatus and method of controlling same | |
| CN102957864A (en) | Imaging device and control method thereof | |
| CN104065859A (en) | Panoramic and deep image acquisition method and photographic device | |
| CN102065223A (en) | Image capture apparatus and image capturing method | |
| US9965833B2 (en) | Optical system characteristic data storing device, method, and program for image restoration filtering | |
| JP5125734B2 (en) | Imaging apparatus, image selection method, and image selection program | |
| CN101778212B (en) | Automatic focusing method in strong noise environment and device thereof | |
| CN102263894B (en) | Imaging apparatus | |
| US8654204B2 (en) | Digtal photographing apparatus and method of controlling the same | |
| WO2014041845A1 (en) | Imaging device and signal processing method | |
| CN113810593B (en) | Image processing method, device, storage medium and electronic equipment | |
| US8102464B2 (en) | Automatic focusing method in high-noise environment and digital imaging device using the same | |
| CN101778213B (en) | Automatic focusing method in high-noise environment and digital imaging device thereof |
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 | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20120523 Termination date: 20200112 |