CN103095979A - Image processing method and imaging capture device of face overexposure - Google Patents
Image processing method and imaging capture device of face overexposure Download PDFInfo
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Abstract
The invention relates to an image processing method and an image capture device of face overexposure. The image processing method of face overexposure includes the following steps: first, capturing a to-be-processed image and conducting a face detection procedure to the to-be-processed image in order to define a face region which includes one or a plurality of faces, second, analyzing brightness distribution of the face region in the to-be-processed image and judging whether an overexposure region exists in the face region. If the overexposure region exists, a digital image processing is conducted to the to-be-processed image in order to simulate a first exposure image and a second exposure image. Image blending is conducted to the second exposure image and the region, corresponding to the overexposure region, of the first exposure region in order to produce an after-processed image. The image capture device of face overexposure can be directly used in common consumption type cameras in order to achieve the function of improving the phenomenon of regional overexposure of faces.
Description
Technical field
The present invention relates to a kind of image treatment method and image capture unit thereof, relate in particular to a kind of image treatment method and image capture unit thereof of handler's face overexposure phenomenon.
Background technology
Along with the development of science and technology, all kinds of image capture units such as camera, video camera have been played the part of indispensable role in life, are that daily life or operational environment are all the stages that image capture unit is brought into play its function.Owing to being flooded with on the market image capture unit miscellaneous, so the function number of image capture unit just becomes one of consumer's considering when buying.
At present in camera field, generally in the light complex environment, when portrait or people's face are taken pictures, due to the impact of light diffusion, very easily cause face's regional area overexposure, this phenomenon very easily betides the skin of general oil or the skin of highly making up.For instance, under the sun the local pasta phenomenon of face or the regional reflex of highly making up larger, and then cause that in photograph, corresponding zone produces overexposure; When perhaps using photoflash lamp in darker environment, if the brightness of flashing or angle are inappropriate, also easily cause the regional area overexposure and reduce image quality.
Solve at present the problem of above-mentioned photograph regional area overexposure, major part is all to utilize external aid to control the power of light and direction to reduce the local overexposure phenomenon of people's face, also some is after shooting is complete, utilizes the general image processing softwares of collocation such as PC or notebook computer with manual type, image of face to be done local the processing.Yet above-mentioned solution all must be dependent on professional person's processing or rear system, and for ordinary consumer, real is inconvenience.Therefore, realize directly that in general camera the function of improving the local overexposure phenomenon of people's face is consumer demand in fact, yet do not see the camera with this kind function at present in camera field.
Summary of the invention
In view of this, the invention provides a kind of image treatment method and image capture unit thereof of people's face overexposure, can directly realize improving the function of the local overexposure phenomenon of people's face in image capture unit.
The present invention proposes a kind of image treatment method of people's face overexposure, is applicable to image capture unit, comprises the following steps.At first, acquisition one pending image, and carry out people's face trace routine for this pending image, use defining a human face region that comprises one or more people's face.Then, analyze the bright dark distribution of image in human face region, and judge that whether to have overexposure in human face region regional.If pending image is carried out digitized video processes to use and simulate the first exposed image and the second exposed image.Utilization zone corresponding with overexposure zone in the first exposed image carried out image with the second exposed image and mixed, uses producing processing image afterwards.
In one embodiment of this invention, the bright dark distribution of image in above-mentioned analysis human face region, and judge that the step that whether has the overexposure zone in human face region comprises the bright dark distribution of analyzing and add up each pixel in human face region, and then produce an intensity map (luminancehistogram).And whether judgement surpasses a default bit number in order to the bit number of expressing this intensity map.Surpass default bit number if express the bit number of this intensity map, utilize pending image to define the overexposure zone.
In one embodiment of this invention, above-mentionedly pending image is carried out digitized video process and to use the step that simulates the first exposed image and the second exposed image and comprise the Luminance Distribution of analyzing pending image and capture the first image partly of high bit as the first exposed image.And the Luminance Distribution of analyzing pending image is hanged down the image of bit part as the second exposed image with acquisition.
The another image treatment method that proposes a kind of people's face overexposure of the present invention is applicable to an image capture unit, and it comprises the following steps.At first, set the first exposure mode and use acquisition one first pending image, and set the second exposure mode and use acquisition one second pending image, wherein, the time for exposure of the first exposure mode is less than the time for exposure of the second exposure mode.Then, the second pending image is carried out people's face trace routine, use defining a human face region that comprises one or more people's face.Then, analyze the bright dark distribution of image in human face region, and judge that whether to have overexposure in human face region regional.If, utilize in the first pending image the zone corresponding with the overexposure zone to carry out image with the second pending image and mixes, use producing the rear image of processing.
In one embodiment of this invention, above-mentioned after acquisition the first pending image and the second pending image, also comprise the first pending image and the second pending image are carried out geometric correction, use producing the first rear image of correction and the rear image of the second correction, and then proofread and correct rear image to second and carry out people's face trace routine.
In one embodiment of this invention, the bright dark distribution of image in above-mentioned analysis human face region, and judge that the step that whether has the overexposure zone in human face region comprises the bright dark distribution of analyzing and add up each pixel in human face region, and then produce an intensity map.And whether judgement surpasses a default bit number in order to the bit number of expressing this intensity map.Surpass this default bit number if the bit number of this intensity map is expressed in judgement, utilize the second pending image to define the overexposure zone.
The present invention proposes again a kind of image capture unit of handler's face overexposure, and it comprises that image capture module, people's face detect module, image processing module and image mixing module.The image capture module is in order to capture a pending image.People's face detects module and is coupled to the image capture module, in order to receive pending image and pending image to be carried out people's face detect, uses defining a human face region that comprises one or more people's face.The image processing module is coupled to people's face and detects module, in order to analyzing the bright dark distribution of image in human face region, and judge that whether to have an overexposure in human face region regional.If the image processing module carries out digitized video to pending image to be processed to use and simulates the first exposed image and the second exposed image.Image mixing module is coupled to the image processing module, utilizes in the first exposed image the zone corresponding with the overexposure zone to carry out image with the second exposed image and mixes, uses producing the rear image of processing.
In one embodiment of this invention, the bright dark distribution of each pixel in human face region is analyzed and added up to above-mentioned image processing module, and then produce an intensity map.Whether image processing module and judgement surpass a default bit number in order to the bit number of expressing this intensity map.If the image processing module utilizes pending image to define the overexposure zone.
In one embodiment of this invention, above-mentioned image processing module analyze this intensity map with the image that captures high bit in pending image unit part as the first exposed image; Image processing module and the image that captures in pending image low bit part are as the second exposed image.
The present invention reintroduces a kind of image capture unit of handler's face overexposure, and it comprises that image capture module, people's face detect module, image processing module and image mixing module.Wherein, the image capture module is set the first exposure mode and is used acquisition the first pending image, and sets the second exposure mode and use acquisition the second pending image.Wherein, the time for exposure of the first exposure mode is less than the time for exposure of the second exposure mode.People's face detects module and is coupled to the image capture module, in order to receive the second pending image and the second pending image to be carried out people's face detect, uses defining a human face region that comprises one or more people's face.The image processing module is coupled to people's face and detects module, in order to analyzing the bright dark distribution of image in human face region, and judge that whether to have an overexposure in human face region regional.Image mixing module is coupled to the image processing module, if exist overexposure regional in image processing module judgement human face region, image mixing module utilization zone corresponding with overexposure zone in the first pending image carried out image with the second pending image and mixed, uses producing processing image afterwards.
In one embodiment of this invention, the above-mentioned image capture unit that removes people's face overexposure also comprises the geometric correction module that is serially connected with between image capture module and people's face detection module.The geometric correction module uses producing the first rear image of correction and the rear image of the second correction in order to receive the first pending image and the second pending image and to carry out geometric correction.In addition, the geometric correction module and proofread and correct second after image be sent to people's face and detect module to carry out people's face trace routine.
In one embodiment of this invention, the bright dark distribution of each pixel in human face region is analyzed and added up to above-mentioned image processing module, and then produce intensity map.Whether image processing module and judgement surpass a default bit number in order to the bit number of expressing intensity map, if the image processing module utilizes the second pending image to define the overexposure zone.
Based on above-mentioned, image treatment method and the image capture unit thereof of people's face overexposure provided by the present invention, for normal exposure image and low exposed image, carry out image with the overexposure zone of enclosed choosing and mix, so can solve the problem of the local overexposure phenomenon that people's face produces because of local pasta phenomenon etc.Particularly the present invention can directly realize the function of the local overexposure phenomenon of the above-mentioned people's of improvement face in general consumption-orientation camera.
For above-mentioned feature and advantage of the present invention can be become apparent, embodiment cited below particularly, and coordinate institute's accompanying drawing to be described in detail below.
Description of drawings
Fig. 1 is the calcspar according to the shown a kind of image capture unit of one embodiment of the invention.
Fig. 2 is the flow chart according to the image treatment method of the shown a kind of people's face overexposure of one embodiment of the invention.
Fig. 3 (a) to Fig. 3 (c) be example according to the shown intensity map of one embodiment of the invention.
Fig. 4 is the calcspar according to the shown a kind of image capture unit of another embodiment of the present invention.
Fig. 5 is the flow chart according to the image treatment method of the shown a kind of people's face overexposure of another embodiment of the present invention.
The main element symbol description:
100,400: image capture unit
110: the image capture module
120: people's face detects module
130: the image processing module
140: image mixing module
450: the geometric correction module
S210～S240: each step of the image treatment method of people's face overexposure of an embodiment
S510～S550: each step of the image treatment method of people's face overexposure of another embodiment
Embodiment
In order to realize improving people's face because of local pasta phenomenon or the local overexposure phenomenon that causes such as cosmetic highly on general consumption-orientation camera, the present invention adopts with the concept of high dynamic range (High DynamicRange, HDR) image and improves the local overexposure phenomenon of people's face.Its solution can be divided individual screening-mode and many screening-modes, its basic means is all to obtain at least an image that can keep high-brightness region details in scene (low exposed image) and at least one image (normal exposure image) that keeps most of regional details, then find out the overexposure zone in human face region, the image compensation overexposure zone of the above-mentioned at least two kinds of different depth of exposures of recycling.Accordingly, can improve the local overexposure phenomenon of people's face.To come with different embodiment below that the present invention is described in detail.
Fig. 1 is the calcspar according to the shown a kind of image capture unit of one embodiment of the invention.The image capture unit of the present embodiment is for example intelligent mobile phone with image acquisition function of digital camera, slr camera, digital code camera or other, panel computer etc., is not limited to above-mentioned.Please refer to Fig. 1, image capture unit 100 comprises that image capture module 110, people's face detect module 120, image processing module 130 and image mixing module 140.Its function is described below:
People's face detects module 120 and is coupled to image capture module 110, is for example the hardware device that combines with logic circuit component, also can be the software implementation and forms, and does not limit at this.People's face detects module 120 can be in order to detect the face area of person taken picture in an image.
Fig. 2 is the flow chart according to the image treatment method of the shown a kind of people's face overexposure of one embodiment of the invention.Please refer to Fig. 2, the method for the present embodiment is applicable to the image capture unit 100 of Fig. 1, below each module of namely arranging in pairs or groups in Fig. 1 the present embodiment is described.
At first as shown in step S210, utilize image capture module 110 acquisition one pending images, and utilize people's face to detect module 120 this pending image is carried out people's face trace routine, use defining a human face region that comprises one or more people's face, human face region is such as being to comprise a square region of people's face or elliptical region etc.
Then in step S220, image processing module 130 analyst's faces detect the bright dark distributions of image in the defined human face regions of module 120, and judge whether there is the overexposure zone in human face region according to the analysis result of the bright dark distribution of image.In detail, the bright dark distribution of each pixel in human face region can first be analyzed and add up to image processing module 130, and then produce an intensity map (luminance histogram), then judge whether there is the overexposure zone in human face region according to intensity map.
In more detail, image processing module 130 can convert each pixel in human face region to a brightness value, and normally an integer between 0 to 1024, in other words, namely represent the bright dark distribution of image with 10 bits.0 representative complete black (the darkest), 1024 representatives complete white (the brightest), always therefore blackly have 1024 levels (level) to complete white from complete, these 1024 abscissas that level is exactly intensity map, Far Left are 0, rightmost is 1024.Then, for each brightness value, calculate the number of pixels that has this brightness in human face region, then this number convert certain ratio value to, as the ordinate of this brightness, utilize the figure that said method draws to be intensity map.
Fig. 3 (a) to Fig. 3 (c) be example according to the shown intensity map of one embodiment of the invention.If the ordinate of intensity map very high (low) just represents to have in image a lot (lacking) pixels to have this brightness; If in intensity map, certain brightness does not have ordinate at all, represent not have in image the pixel of corresponding brightness.Please refer to Fig. 3 (a), the left side (dark section) 1/4 there is no content fully, and have the part of figure (that is ordinate) complete on the right 3/4, so can infer there is no too dark zone in image.
Please refer to Fig. 3 (b), it seems from intensity map, the Luminance Distribution of this image all has to bright from dark, mainly concentrates on center-left part near intermediate luminance, so can infer that this image brilliance is partially dark.Please refer to again Fig. 3 (c), the illuminance distribution of intensity map, but in the brightest part, a high peak is arranged, and other Luminance Distribution difference is little, and the example shown in Fig. 3 (c) has represented that over-exposed phenomenon appears in human face region.Accordingly, the height fluctuating according to human face region collocation intensity map can judge whether image has over-exposed phenomenon.
In other words, suppose that the bright dark distribution of average man's face only needs 10 bits can represent that brightness value distributes, but if for example phenomenon at above-mentioned high peak appears, representative needs the brightness value (for example 12 bits) of higher bit number could express more in detail the Luminance Distribution of people's face.Therefore, whether judgement surpasses a default bit number (for example 10 bits) in order to the bit number of the intensity map of expressing human face region.Surpass default bit number if express the bit number of this intensity map, the pixel that brightness in human face region is belonged to high cutting edge of a knife or a sword position is defined as the overexposure zone.
Get back to Fig. 2, if there is overexposure zone really in human face region, shown in subsequent steps S230, pending image is carried out digitized video process to use and simulate the first exposed image and the second exposed image.In detail, suppose that pending image is to represent brightness value with 14 bits, in the pending image of fechtable the image of high bit unit part (for example getting 8 higher bits) as the first exposed image, the image of high bit unit part is the high-brightness region image, can be used to simulate low exposed image.Therefore, the first exposed image can keep the regional details of high brightness in pending image.Then, as the second exposed image, the image of low bit part is the image of middle low brightness area to the Luminance Distribution of analyzing pending image, can be used to simulate the normal exposure image with the image of the low bit part of acquisition (8 bits in the middle of for example getting).Therefore, the second exposed image can keep most of regional details in pending image, but the overexposure that human face region can show.
Due to the first exposed image can keep in the regional details of high brightness, therefore the overexposure zone in the second exposed image can be utilized the first exposed image corresponding zone to compensate, therefore in step S240, image mixing module 140 carries out image with the first exposed image and the second exposed image to be mixed, and then produces image after the processing can improve people's face overexposure phenomenon.For reaching the compensation of gapless, for example can adopt hierarchy type to merge (hierarchical fusion) for the overexposure zone.Wherein, the image that adopts of image mixing module 140 mixes algorithm and is not limited at this.
The present embodiment is to be the image treatment method of image capture unit 100 under individual pattern, because the first exposed image and the second exposed image are by same pending image gained, therefore image mixing module 140 can be done correct merging to it, does not have the problem of geometric correction between image.Yet, if pending image is more than 2 or 2, has between image geometric correction or personage and the influencing factor such as move, therefore following the image treatment method of image capture unit 100 under many patterns will be described.
Fig. 4 is the calcspar according to the shown a kind of image capture unit of another embodiment of the present invention.Please refer to Fig. 4, in the present embodiment, image capture unit 400 except comprise image capture module 110, human face detection detect module 120, image processing module 130 and image mixing module 140, also comprise geometric correction module 450.Wherein, geometric correction module 450 is serially connected with image capture module 110 and people's face detects between module 120, and is coupled to image processing module 130.Geometric correction module 450 is for example a geometric transformation engine (GeometricTransform Engine, GTE).
Fig. 5 is the flow chart according to the image treatment method of the shown a kind of people's face overexposure of another embodiment of the present invention.Below the function mode of image capture unit 400 will be described with Fig. 5.Please be simultaneously with reference to Fig. 4 and Fig. 5.
At first, image capture module 400 is set the first exposure mode and is used acquisition the first pending image, and sets the second exposure mode and use acquisition the second pending image.Wherein, the time for exposure of the first exposure mode is less than the time for exposure (step S510) of the second exposure mode.In the present embodiment, the first exposure mode is for example low exposure mode, in order to obtain a high brightness and details the obvious first pending image, the first pending image can keep the regional details of high brightness in the photography scene, but in the photography scene, the zone of normal brightness seems partially dark and the loss details because of the relation of low exposure.The second exposure mode is for example the normal exposure pattern, obtain a middle low-light level and details the obvious second pending image, this image is the image that general image capture unit is clapped, the image detail in most of zone in its scene that can keep photographing, but the zone of higher brightness (being for example people's face pasta zone) overexposure can seem.
People's face detects module 120 and receives the second pending image and the second pending image carried out people's face detect, and uses defining a human face region (step S530) that comprises one or more people's face.The bright dark distribution of image that image processing module 130 is analyzed in human face region, and judge whether there is an overexposure zone (step S540) in human face region.If really exist overexposure regional in image processing module 130 judgement human face regions, image mixing module 140 utilizes in the first pending image the zone corresponding with the overexposure zone to carry out image with the second pending image to mix, use producing the rear image (step S550) of processing.Other thin section flow processs as for the present embodiment are described in last embodiment, therefore be not repeated herein.
The present embodiment place different from last embodiment is that the present embodiment is directly to control the length of time for exposure to obtain exposed image in various degree by image capture unit, and after many images are carried out geometric correction, then the overexposure zone in image is compensated.The brightness range that the present embodiment can compensate is larger, the image capture unit of last embodiment in individual pattern lower can clap dynamic range less, therefore can compensate brightness range also less, but individual pattern there is no the problem of geometric correction.Therefore two kinds of embodiment shown in above can select individual pattern or many patterns to carry out image processing according to actual conditions by the user.
In sum, no matter the present invention takes with individual pattern or many patterns, be all to utilize normal exposure image and low exposed image to carry out image compensation and mix with the overexposure zone of enclosed choosing, so can solve the problem of the local overexposure phenomenon that people's face produces because of local pasta phenomenon etc.Particularly, the present invention can directly realize the image treatment method of the local overexposure phenomenon of the above-mentioned people's of improvement face in general consumption-orientation camera.Do not need to be dependent on the professional person and utilize external aid to control image capture unit as described in prior art, the image processing software that perhaps sees through computer carries out rear system.Accordingly, the present invention increases the practicality of image capture unit and makes the diversification more of its function.
Although the present invention discloses as above with embodiment; but it is not to limit the present invention; any the technical staff in the technical field; without departing from the spirit and scope of the present invention; when doing suitable change and equal the replacement, therefore protection scope of the present invention should be as the criterion with the scope that the application's claim is defined.
Claims (12)
1. the image treatment method of people's face overexposure, be applicable to an image capture unit, comprising:
Capture a pending image, and carry out people's face trace routine for this pending image, use defining a human face region that comprises at least one people's face;
Analyze the bright dark distribution of image in this human face region, and judge whether there is an overexposure zone in this human face region;
If this pending image is carried out digitized video processes to use and simulate one first exposed image and one second exposed image; And
Utilization zone corresponding with this overexposure zone in this first exposed image carried out image with this second exposed image and mixed, uses producing processing image afterwards.
2. the image treatment method of people's face overexposure according to claim 1 is wherein analyzed the bright dark distribution of image in this human face region, and judges whether exist the step in this overexposure zone to comprise in this human face region:
Analyze and add up the bright dark distribution of each pixel in this human face region, and then produce an intensity map;
Whether judgement surpasses a default bit number in order to the bit number of expressing this intensity map; And
If express the bit number of this intensity map over presetting the bit number, utilize this pending image to define this overexposure regional.
3. the image treatment method of people's face overexposure according to claim 2, wherein carry out digitized video to this pending image and process and use the step that simulates this first exposed image and this second exposed image and comprise:
Analyze this intensity map with the image that captures high bit in this pending image unit part as this first exposed image; And
Analyze this intensity map and hang down bit image partly in this pending image as this second exposed image to capture.
4. the image treatment method of people's face overexposure, be applicable to an image capture unit, comprising:
Set one first exposure mode and use acquisition one first pending image, and set one second exposure mode and use acquisition one second pending image, wherein, the time for exposure of this first exposure mode is less than the time for exposure of this second exposure mode;
This second pending image is carried out people's face trace routine, use defining a human face region that comprises at least one people's face;
Analyze the bright dark distribution of image in this human face region, and judge whether there is an overexposure zone in this human face region; And
If, utilize in this first pending image the zone corresponding with this overexposure zone to carry out image with this second pending image and mixes, use producing a rear image of processing.
5. the image treatment method of people's face overexposure according to claim 4 wherein after this first pending image of acquisition and this second pending image, also comprises:
This first pending image and this second pending image are carried out geometric correction, use generation one first and proofread and correct rear image and the rear image of one second correction, and then image after this second correction is carried out this people's face trace routine.
6. the image treatment method of people's face overexposure according to claim 4 is wherein analyzed the bright dark distribution of image in this human face region, and judges whether exist the step in this overexposure zone to comprise in this human face region:
Analyze and add up the bright dark distribution of each pixel in this human face region, and then produce an intensity map;
Whether judgement surpasses a default bit number in order to the bit number of expressing this intensity map; And
If judge that the bit number of expressing this intensity map over presetting the bit number, utilizes this second pending image to define this overexposure regional.
7. the image capture unit of handler's face overexposure comprises:
One image capture module is in order to capture a pending image;
One people's face detects module, is coupled to this image capture module, receives this pending image and this pending image is carried out people's face detect, and uses defining a human face region that comprises at least one people's face;
One image processing module, be coupled to this people's face and detect module, analyze the bright dark distribution of image in this human face region, and judge whether there is an overexposure zone in this human face region, if this image processing module carries out digitized video to this pending image to be processed to use and simulates one first exposed image and one second exposed image; And
One image mixing module is coupled to this image processing module, utilizes in this first exposed image the zone corresponding with this overexposure zone to carry out image with this second exposed image and mixes, uses producing a rear image of processing.
8. the image capture unit of handler's face overexposure according to claim 7, wherein:
This image processing module analysis is also added up the bright dark distribution of each pixel in this human face region, and then produce an intensity map, and whether judgement surpasses a default bit number in order to the bit number of expressing this intensity map, if express the bit number of this intensity map over presetting the bit number, it is regional that this this pending image of image processing module utilization defines this overexposure.
9. the image capture unit of handler's face overexposure according to claim 8, wherein:
This image processing module analyze this intensity map with the image that captures high bit in this pending image unit part as this first exposed image, this image processing module and the image that captures low bit part in this pending image are as this second exposed image.
10. the image capture unit of handler's face overexposure comprises:
One image capture module, set one first exposure mode and use acquisition one first pending image, and set one second exposure mode and use acquisition one second pending image, wherein, the time for exposure of this first exposure mode is less than the time for exposure of this second exposure mode;
One people's face detects module, is coupled to this image capture module, receives this second pending image and this second pending image is carried out people's face detect, and uses defining a human face region that comprises at least one people's face;
One image processing module is coupled to this people's face and detects module, analyzes the bright dark distribution of image in this human face region, and judges whether there is an overexposure zone in this human face region; And
One image mixing module, be coupled to this image processing module, if this image processing module judges that in this human face region, this overexposure of existence is regional, this image mixing module utilization zone corresponding with this overexposure zone in this first pending image carried out image with this second pending image and mixed, uses producing processing image afterwards.
11. the image capture unit of handler's face overexposure according to claim 10 also comprises:
One geometric correction module, being serially connected with this image capture module and this people's face detects between module, this geometric correction module receives this first pending image that this image capture module captures and this second pending image and carries out geometric correction, use generation one first and proofread and correct rear image and the rear image of one second correction, and image after this second correction is sent to this people's face detection module to carry out this people's face trace routine.
12. the image capture unit of handler's face overexposure according to claim 10, wherein:
This image processing module analysis is also added up the bright dark distribution of each pixel in this human face region, and then produce an intensity map, and whether judgement surpasses a default bit number in order to the bit number of expressing this intensity map, if judge that the bit number of expressing this intensity map over presetting the bit number, utilizes this second pending image to define this overexposure regional.
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| CN108875477A (en) * | 2017-08-14 | 2018-11-23 | 北京旷视科技有限公司 | Exposal control method, device and system and storage medium |
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| CN109660789A (en) * | 2018-11-26 | 2019-04-19 | 维沃移动通信（杭州）有限公司 | A kind of measuring device and camera dynamic range measurement method |
| CN109670386A (en) * | 2017-10-16 | 2019-04-23 | 深圳泰首智能技术有限公司 | Face identification method and terminal |
| CN109918993A (en) * | 2019-01-09 | 2019-06-21 | 杭州中威电子股份有限公司 | A kind of control method based on human face region exposure |
| CN110930335A (en) * | 2019-11-27 | 2020-03-27 | 维沃移动通信有限公司 | Image processing method and electronic equipment |
| CN111062901A (en) * | 2019-11-27 | 2020-04-24 | 深圳市六六六国际旅行社有限公司 | Face image processing method and device and computer readable storage medium |
| CN111123538A (en) * | 2019-09-17 | 2020-05-08 | 印象认知（北京）科技有限公司 | Image processing method and method for adjusting diffraction screen structure based on point spread function |
| CN111898532A (en) * | 2020-07-30 | 2020-11-06 | 杭州海康威视数字技术股份有限公司 | Image processing method and device, electronic equipment and monitoring system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006166226A (en) * | 2004-12-09 | 2006-06-22 | Seiko Epson Corp | Digital camera, image processing method and program, and image processing system |
| CN101465964A (en) * | 2007-12-17 | 2009-06-24 | 鸿富锦精密工业（深圳）有限公司 | Photographic device and photographic method |
| JP2010049312A (en) * | 2008-08-19 | 2010-03-04 | Casio Comput Co Ltd | Image processing device, image processing method, and program |
| CN102006421A (en) * | 2009-09-01 | 2011-04-06 | 华晶科技股份有限公司 | Processing method for image with face |
-
2011
- 2011-11-07 CN CN2011103477964A patent/CN103095979A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006166226A (en) * | 2004-12-09 | 2006-06-22 | Seiko Epson Corp | Digital camera, image processing method and program, and image processing system |
| CN101465964A (en) * | 2007-12-17 | 2009-06-24 | 鸿富锦精密工业（深圳）有限公司 | Photographic device and photographic method |
| JP2010049312A (en) * | 2008-08-19 | 2010-03-04 | Casio Comput Co Ltd | Image processing device, image processing method, and program |
| CN102006421A (en) * | 2009-09-01 | 2011-04-06 | 华晶科技股份有限公司 | Processing method for image with face |
Non-Patent Citations (1)
| Title |
|---|
| TSUN-HSIEN WANG;CHING-TE CHIU;: "Low visual difference virtual high dynamic range image synthesizer from a single legacy image", 《IMAGE PROCESSING (ICIP), 2011 18TH IEEE INTERNATIONAL CONFERENCE ON》 * |
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