CN110458860A - Image processing method and image processing apparatus - Google Patents
Image processing method and image processing apparatus Download PDFInfo
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- CN110458860A CN110458860A CN201810431094.6A CN201810431094A CN110458860A CN 110458860 A CN110458860 A CN 110458860A CN 201810431094 A CN201810431094 A CN 201810431094A CN 110458860 A CN110458860 A CN 110458860A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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Abstract
The present invention proposes a kind of image processing method and image processing apparatus.Described image processing method includes: the multiple depth informations for obtaining multiple images by processor and calculating correspondence image；By processor according to the multiple colouring informations, multiple luminance informations and depth information of image by each image segmentation at foreground area and background area；The foreground area of the first image in image is obtained by processor, wherein the brightness of the foreground area of the first image is greater than the first threshold value；The background area that the second image in image is obtained by processor, wherein the brightness of the background area of the second image is less than the second threshold value；And the foreground area of the first image and the background area of the second image are overlapped to generate high dynamic range images by processor.
Description
Technical field
The present invention relates to a kind of image processing method and image processing apparatus more particularly to a kind of energy to be provided using less system
Source generates the image processing method and image processing apparatus of clear image.
Background technique
In traditional single image acquiring technology, if scene brightness present high contrast, main body (for example, portrait) it is bright
Degree can become darker because of the limitation of dynamic range of sensor.If being selected longer to improve the brightness of image in dark portion region
Time for exposure, will cause in image other bright areas because the time for exposure is too long generate overexposure the case where, that is, generate
Main body brightness is normal but the image of background overexposure, as shown in Figure 1.If selecting shorter exposure in order to avoid highlights region overexposure
Time, the body region that will cause in image is excessively dark because of under-exposure, as shown in Figure 2.Therefore, when anyway setting exposure
Between, it can not all photograph main body and all clear and bright image of background.
To solve the above-mentioned problems, high-dynamics image processing technique is suggested.High-dynamics image processing technique is will be more
It opens image and builds up single high dynamic range images, then adjusted one by one by tone rendering (tone reproduction) technology
The brightness of each pixel.High-dynamics image processing technique can accurately restore the dynamic range of live scenery, avoid image
There is overexposure region or cross dark areas, and can show the details of bright areas Yu dark portion region.However, high-dynamics image handles skill
Art usually requires to obtain the image of multiple different exposure times, it is therefore necessary to spend more calculating time and storage space
It can complete image congruencing.For the image congruencing time to be reduced, the method for regional tone rendering is suggested.However, region
Property tone rendering is easy to produce halo problem, such as black and white boundary in the picture has abnormal white edge or black surround, such as Fig. 3
In halation 300.Therefore, how using less system resource clear image is generated, is that those skilled in the art should endeavour
Target.
Summary of the invention
In view of this, the present invention provides a kind of image processing method and image processing apparatus, less system resource can be utilized
To generate clear image.
The present invention proposes a kind of image processing method, comprising: obtains multiple images by processor and calculates corresponding above-mentioned
Multiple depth informations of image；By processor according to the multiple colouring informations, multiple luminance informations and above-mentioned depth of above-mentioned image
Information is spent by each image segmentation into foreground area and background area；The first image in above-mentioned image is obtained by processor
Foreground area, wherein the brightness of the foreground area of the first image is greater than the first threshold value；It is obtained in above-mentioned image by processor
The second image background area, wherein the brightness of the background area of the second image is less than the second threshold value；And pass through processing
Device overlaps the foreground area of the first image and the background area of the second image to generate high dynamic range images.
In one embodiment of this invention, above-mentioned image processing method further include: by processor to the back of the second image
Scene area carries out image filtering operation, and image filtering operation includes that background blurring operation and object remove operation.
In one embodiment of this invention, above-mentioned image processing method further include: through processor before above-mentioned image
Scene area or background area obtain the offset of corresponding object, and carry out deformation conversion to those images according to offset
(transform) it operates.
In one embodiment of this invention, above-mentioned image processing method further include: by processor according to the first image
The brightness of the background area of foreground area and the second image is to the foreground area of high dynamic range images and the edge of background area
Carry out tone rendering operation.
In one embodiment of this invention, above-mentioned depth information is according to more lens images or structure light information acquisition.
The present invention proposes a kind of image processing apparatus, comprising: processor；Imaging sensor is couple to processor and obtains
Multiple images；And a memory, it is couple to processor.Above-mentioned processor obtains multiple images and calculates corresponding above-mentioned image
Multiple depth informations；According to the multiple colouring informations, multiple luminance informations and above-mentioned depth information of above-mentioned image by each image
It is divided into foreground area and background area；The foreground area of the first image in above-mentioned image is obtained, wherein before the first image
The brightness of scene area is greater than the first threshold value；The background area of the second image in above-mentioned image is obtained, wherein the second image
The brightness of background area is less than the second threshold value；And overlapping the first image foreground area and the second image background area with
Generate high dynamic range images.
In one embodiment of this invention, above-mentioned processor carries out image filtering operation to the background area of the second image,
Image filtering operation includes that background blurring operation and object remove operation.
In one embodiment of this invention, above-mentioned processor obtains correspondence from the foreground area of above-mentioned image or background area
The offset of object, and deformation conversion operation is carried out to those images according to offset.
In one embodiment of this invention, above-mentioned processor is according to the foreground area of the first image and the background of the second image
The brightness in region carries out tone rendering operation to the foreground area of high dynamic range images and the edge of background area.
In one embodiment of this invention, above-mentioned depth information is according to more lens images or structure light information acquisition.
The depth information of multiple images can be calculated based on above-mentioned, of the invention image processing method and image processing apparatus,
And according to the colouring information, luminance information and depth information of image by each image segmentation at foreground area and background area, then
Obtained from multiple images brightness greater than the first threshold value foreground area and brightness less than the second threshold value background area.Most
Afterwards, above-mentioned foreground area and background area are overlapped to generate high dynamic range images.It is applied to height by dividing the image into technology
Dynamic image is simultaneously subject to region and carries out image congruencing, can not adjust pixel intensity one by one to save operation time,
And obtain the high dynamic range images of high-quality.
To make the foregoing features and advantages of the present invention clearer and more comprehensible, special embodiment below, and it is detailed to cooperate attached drawing to make
Carefully it is described as follows.
Detailed description of the invention
Fig. 1 is the schematic diagram of the image of background overexposure in the prior art of the invention.
Fig. 2 is the schematic diagram of the excessively dark image of main body in the prior art of the invention.
Fig. 3 is the schematic diagram that tone rendering regional in the prior art of the invention causes halation phenomenon.
Fig. 4 is the block diagram according to the image processing apparatus of one embodiment of the invention.
Fig. 5 is the flow chart according to the image processing method of one embodiment of the invention.
Fig. 6 is the schematic diagram according to the high dynamic range images of one embodiment of the invention.
Fig. 7 is the flow chart according to the image processing method of another embodiment of the present invention.
Description of symbols
300: halation；
400: image processing apparatus；
410: processor；
420: lens module；
430: memory；
501 (1)~501 (n): image；
502 (1)~502 (n): depth information；
S510, S520, S530, S540, S550: the step of image processing method；
701 (1)~701 (n): image；
702 (1)~702 (n): depth information；
S710, S720, S730, S740, S750, S760, S770, S780: the step of image processing method.
Specific embodiment
Fig. 4 is the block diagram according to the image processing apparatus of one embodiment of the invention.
Referring to figure 4., image processing apparatus 400 of the invention includes processor 410, lens module 420 and memory
430.Lens module 420 can obtain one or more images and image is transmitted to the storage of memory 430 or is kept in.Processor 410
One or more images in memory 430 can be carried out with operation to obtain high dynamic range images.
Processor 410 can be central processing unit (Central Processing Unit, CPU) or other can journey
The general service of sequence or microprocessor (Microprocessor), the digital signal processor (Digital of specific use
Signal Processor, DSP), programmable controller, special application integrated circuit (Application Specific
Integrated Circuit, ASIC) or other similar element or said elements combination.Lens module 420 may include camera lens
(being not shown in figure) and imaging sensor (being not shown in figure).Imaging sensor can be photosensitive coupling element (Charge
Coupled Device, CCD) imaging sensor, complementary metal oxide semiconductor (Complementary Metal-
Oxide-Semiconductor, CMOS) or other kinds of imaging sensor.Memory 430 can be the fixation of any kenel
Or removable random access memory (Random Access Memory, RAM), read-only memory (Read-Only Memory,
ROM), flash memory (flash memory), hard disk drive (Hard Disk Drive, HDD), solid state hard disk (Solid
State Drive, SSD) or similar component or said elements combination.
Fig. 5 is the flow chart according to the image processing method of one embodiment of the invention.
Referring to figure 5., in step S510, processor 410 obtains multiple images and calculates the depth of corresponding each image
Information.For example, processor 410 can obtain image 501 (1)~501 (n), and calculate separately correspondence image 501 (1)~501 (n)
Depth information 502 (1)~502 (n).Image 501 (1)~501 (n) are the image of different exposure time.In one embodiment,
The depth information of each image can captured by calculating twin-lens or three-lens image obtain.In another embodiment, often
The depth information of a image can be obtained by three-dimensional structure optical depth sensor sampling depth data.The present invention is not to image
The preparation method of depth information makes limitation.
In step S520, processor 410 is by each image segmentation at foreground area and background area.Specifically, locate
Managing device 410 can be according to the colouring information of image pixel, luminance information and the calculated depth information of step S510 come resolution image
In foreground area and background area.
In step S530, processor 410 carries out image filtering (image filtering) to image.Specifically, In
After obtaining background pixel and foreground pixel, before processor 410 can be greater than a threshold value (for example, first threshold value) to brightness
Scene element carries out object and removes people of the processing to remove nonbody and move.Pixel intensity is greater than the first threshold value and represents
The brightness of this foreground pixel will not be excessively dark.Processor 410 can also back to brightness less than a threshold value (for example, second threshold value)
Scene element carries out virtualization processing, with the background image blurred.Pixel intensity represents this background picture less than the second threshold value
The brightness of element will not overexposure.
In step S540, processor 410 carries out image congruencing (fusion).Specifically, processor 410 can choose figure
As the foreground pixel with normal brightness (that is, will not be excessively dark) after cutting, and the foreground pixel selected is folded into no overexposure
Background image in.In this way, can be obtained by an image that is background blurring and retaining high dynamic range images details, such as
Shown in Fig. 6.
In step S550, processor 410 exports high dynamic range images.
The present embodiment proposes a kind of high dynamic range images calculation method based on region, directly divides the image into prospect
Qualified foreground area and background area are overlapped into high dynamic range images again by region and background area.Due to this implementation
There is no, to carry out image congruencing, therefore can substantially save to the brightness adjustment brightness of each pixel and generate high high dynamic range for example
The operation time of image.
Fig. 7 is the flow chart according to the image processing method of another embodiment of the present invention.
Fig. 7 is please referred to, in step S710, processor 410 obtains multiple images and calculates the depth of corresponding each image
Information.For example, processor 410 can obtain image 701 (1)~701 (n), and calculate separately correspondence image 701 (1)~701 (n)
Depth information 702 (1)~702 (n).Image 701 (1)~701 (n) are the image of different exposure time.
In step S720, processor 410 is by each image segmentation at foreground area and background area.Specifically, locate
Managing device 410 can be according to the colouring information of image pixel, luminance information and the calculated depth information of step S710 come resolution image
In foreground area and background area.
In step S730, processor 410 carries out mobile estimating (motion estimation).In step S740, place
It manages device 410 and carries out anamorphose conversion (image transform).Specifically, scenery or background before processor 410 can be estimated
The amount of movement of object, and the deformation conversion of image is carried out to reduce the situation of overlapping image fault according to this amount of movement.This can be with
The situation of image shift is caused when preventing from shooting multiple images because of hand shake or other movements.
In step S750, processor 410 carries out image filtering (image filtering) to image.Specifically, In
After obtaining background pixel and foreground pixel, before processor 410 can be greater than a threshold value (for example, first threshold value) to brightness
Scene element carries out object and removes people of the processing to remove nonbody and move.Pixel intensity is greater than the first threshold value and represents
The brightness of this foreground pixel will not be excessively dark.Processor 410 can also back to brightness less than a threshold value (for example, second threshold value)
Scene element carries out virtualization processing, with the background image blurred.Pixel intensity represents this background picture less than the second threshold value
The brightness of element will not overexposure.
In step S760, processor 410 carries out image congruencing.Specifically, after processor 410 can choose image cutting
Foreground pixel with normal brightness (that is, will not be excessively dark), and the foreground pixel selected is folded into the Background of not overexposure
As in.
In step S770, the image of 410 pairs of processor overlappings carries out hue adjustment.Specifically, processor 410 is adjustable
The overall contrast effect of whole overlapping image, to obtain the higher image of contrast.In addition, processor 410 can also be according to selecting
The brightness of foreground area and background area carries out tone again to the foreground area of high dynamic range images and the edge of background area
It now operates, operates generated halo problem to solve traditional area tone rendering.
In step S780, processor 410 exports high dynamic range images.
In the present embodiment, by the methods of mobile estimating and deformation conversion, because hand shakes when shooting multiple images to reduce
Or other movements cause the overlapping incorrect problem of image.The overall contrast effect of the also adjustable image overlapped of the present embodiment
To generate the better high dynamic range images of quality.
In conclusion image processing method and image processing apparatus of the invention can calculate the depth information of multiple images,
And according to the colouring information, luminance information and depth information of image by each image segmentation at foreground area and background area, then
Obtained from multiple images brightness greater than the first threshold value foreground area and brightness less than the second threshold value background area.Most
Afterwards, above-mentioned foreground area and background area are overlapped to generate high dynamic range images.It is applied to height by dividing the image into technology
Dynamic image is simultaneously subject to region and carries out image congruencing, can not adjust pixel intensity one by one to save operation time,
And obtain the high dynamic range images of high-quality.
Although the present invention is disclosed as above with embodiment, however, it is not to limit the invention, any technical field
Middle technical staff, without departing from the spirit and scope of the present invention, when can make a little change and retouching, therefore protection of the invention
Range is subject to view as defined in claim.
Claims (12)
1. a kind of image processing method characterized by comprising
Multiple images are obtained by processor and calculate multiple depth informations of corresponding described multiple images；
Believed by the processor according to the multiple colouring informations, multiple luminance informations and the multiple depth of described multiple images
Each described multiple images are divided into foreground area and background area by breath；
The foreground area of the first image in described multiple images is obtained by the processor, wherein the first image
The foreground area brightness be greater than the first threshold value；
The background area that the second image in described multiple images is obtained by the processor, wherein second image
The background area brightness less than the second threshold value；And
The foreground area of the first image and the background area of second image are overlapped by the processor
To generate a high dynamic range images.
2. image processing method according to claim 1, further includes: by the processor to the institute of second image
It states background area and carries out image filtering operation, described image filter operation includes that background blurring operation and object remove operation.
3. image processing method according to claim 1, further includes: by the processor from the institute of described multiple images
State the offset that foreground area or the background area obtain corresponding object, and according to the offset to described multiple images into
Row deformation conversion operation.
4. image processing method according to claim 1, further includes: by the processor according to the first image
The prospect of the brightness of the background area of the foreground area and second image to the high dynamic range images
The edge of region and the background area carries out tone rendering operation.
5. image processing method according to claim 1, wherein the multiple depth information is according to more lens images or knot
Structure optical information obtains.
6. a kind of image processing apparatus characterized by comprising
Processor；
Imaging sensor is couple to the processor and obtains multiple images；And
Memory is couple to the processor, wherein the processor
Obtain multiple depth informations of described multiple images and corresponding described multiple images；
It will be each described more according to the multiple colouring informations, multiple luminance informations and the multiple depth information of described multiple images
A image segmentation is at foreground area and background area；
The foreground area of the first image in described multiple images is obtained, wherein the foreground area of the first image
Brightness be greater than the first threshold value；
The background area for obtaining the second image in described multiple images, wherein the background area of second image
Brightness less than the second threshold value；And
The foreground area of the first image and the background area of second image are overlapped to generate high dynamic range
Enclose image.
7. image processing apparatus according to claim 6, wherein the background of the processor to second image
Region carries out image filtering operation, and described image filter operation includes that background blurring operation and object remove operation.
8. image processing apparatus according to claim 6, wherein the prospect of the processor from described multiple images
Region or the background area obtain the offset of corresponding object, and are deformed according to the offset to described multiple images
Conversion operation.
9. image processing apparatus according to claim 6, wherein the processor according to the first image it is described before
The brightness of the background area of scene area and second image to the foreground areas of the high dynamic range images and
The edge of the background area carries out tone rendering operation.
10. image processing apparatus according to claim 6, wherein the multiple depth information is according to more lens images or knot
Structure optical information obtains.
11. a kind of image processing method characterized by comprising
Obtain multiple depth informations of multiple images and corresponding described multiple images；
It will be each described more according to the multiple colouring informations, multiple luminance informations and the multiple depth information of described multiple images
A image segmentation is at foreground area and background area；And
According to the back of one of the foreground area of one of described multiple images and described multiple images
Scene area generates high dynamic range images.
12. a kind of image processing apparatus characterized by comprising
Processor；
Imaging sensor is couple to the processor and obtains multiple images；And
Memory is couple to the processor, wherein the processor
Obtain multiple depth informations of multiple images and corresponding described multiple images；
It will be each described more according to the multiple colouring informations, multiple luminance informations and the multiple depth information of described multiple images
A image segmentation is at foreground area and background area；And
According to the back of one of the foreground area of one of described multiple images and described multiple images
Scene area generates high dynamic range images.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103518223A (en) * | 2011-04-18 | 2014-01-15 | 高通股份有限公司 | White balance optimization with high dynamic range images |
| US20140254920A1 (en) * | 2013-03-06 | 2014-09-11 | Samsung Electronics Co., Ltd. | Method and apparatus for enhancing quality of 3d image |
| CN104463775A (en) * | 2014-10-31 | 2015-03-25 | 小米科技有限责任公司 | Device and method for achieving depth-of-field effect of image |
| TW201534103A (en) * | 2014-02-25 | 2015-09-01 | Altek Corp | Electronic device and calibration method thereof |
| US20170256039A1 (en) * | 2016-03-07 | 2017-09-07 | Novatek Microelectronics Corp. | Method of Processing High Dynamic Range Images Using Dynamic Metadata |
| CN107197169A (en) * | 2017-06-22 | 2017-09-22 | 维沃移动通信有限公司 | A kind of high dynamic range images image pickup method and mobile terminal |
| CN107635093A (en) * | 2017-09-18 | 2018-01-26 | 维沃移动通信有限公司 | A kind of image processing method, mobile terminal and computer-readable recording medium |
| CN107948519A (en) * | 2017-11-30 | 2018-04-20 | 广东欧珀移动通信有限公司 | Image processing method, device and equipment |
-
2018
- 2018-05-08 CN CN201810431094.6A patent/CN110458860A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103518223A (en) * | 2011-04-18 | 2014-01-15 | 高通股份有限公司 | White balance optimization with high dynamic range images |
| US20140254920A1 (en) * | 2013-03-06 | 2014-09-11 | Samsung Electronics Co., Ltd. | Method and apparatus for enhancing quality of 3d image |
| TW201534103A (en) * | 2014-02-25 | 2015-09-01 | Altek Corp | Electronic device and calibration method thereof |
| CN104463775A (en) * | 2014-10-31 | 2015-03-25 | 小米科技有限责任公司 | Device and method for achieving depth-of-field effect of image |
| US20170256039A1 (en) * | 2016-03-07 | 2017-09-07 | Novatek Microelectronics Corp. | Method of Processing High Dynamic Range Images Using Dynamic Metadata |
| CN107197169A (en) * | 2017-06-22 | 2017-09-22 | 维沃移动通信有限公司 | A kind of high dynamic range images image pickup method and mobile terminal |
| CN107635093A (en) * | 2017-09-18 | 2018-01-26 | 维沃移动通信有限公司 | A kind of image processing method, mobile terminal and computer-readable recording medium |
| CN107948519A (en) * | 2017-11-30 | 2018-04-20 | 广东欧珀移动通信有限公司 | Image processing method, device and equipment |
Non-Patent Citations (1)
| Title |
|---|
| 都琳等: "基于权重最小二乘结构边缘保持色调映射算法", 《激光与红外》 * |
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Application publication date: 20191115 |