CN104299188A - Image correction method and image correction system - Google Patents
Image correction method and image correction system Download PDFInfo
- Publication number
- CN104299188A CN104299188A CN201310301477.9A CN201310301477A CN104299188A CN 104299188 A CN104299188 A CN 104299188A CN 201310301477 A CN201310301477 A CN 201310301477A CN 104299188 A CN104299188 A CN 104299188A
- Authority
- CN
- China
- Prior art keywords
- region
- pixel
- ghost
- image
- brightness value
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000003702 image correction Methods 0.000 title claims abstract description 15
- 238000000605 extraction Methods 0.000 claims description 12
- 239000000284 extract Substances 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000000155 melt Substances 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
Landscapes
- Studio Devices (AREA)
- Image Processing (AREA)
Abstract
The invention provides an image correction method. The method comprises the following steps of: obtaining an image; obtaining a pixel point with the brightness value greater than one preset brightness value in the image; determining a smallest surrounding region according to the pixel point; determining a located region of a ghost image and/or dazzle light in the image according to the smallest surrounding region; and correcting the located region of the ghost image and/or the dazzle light. The invention also provides an image correction system. The method and the system provided by the invention can be used for correcting the ghost image and/or dazzle light of the image in electronic equipment.
Description
Technical field
The present invention relates to a kind of image processing method and system, especially relate to a kind of method and system of correction image in the electronic device.
Background technology
Along with the raising of handset capability, consumer is also progressively promoting the requirement of camera in mobile phone, and this lifting is mainly reflected on the imaging effect of camera.Due to the factor such as camera lens of intense light source and camera, the image of camera shooting often can produce ghost and/or dazzle light.
When reversible-light shooting, described ghost and to dazzle light the most common.Usually, the image caused by high light turn white, the formed phenomenon of halation is called and dazzles light.When sunshine or pointolite enter the camera lens of camera, after multiple reflections, the relative position of light source formed just like spooky clear bright spot, be referred to as ghost.
Ghost and the resolution ability of dazzling light are intuitively reflected to the performance quality of camera imaging system.Current all big enterprises mainly rest on hardware for ghost and the process of dazzling light, comprise the methods such as the lens design changing camera.Adopt the method for hardware solve ghost and dazzle light, there is the problems such as the high and application of cost is inconvenient.Therefore need to find a kind ofly can facilitate, at low cost image captured by correction camera ghost and dazzle the method for light.
Summary of the invention
In view of above content, be necessary to provide a kind of image correcting method and system, the ghost of the mode correction image of software can be utilized and dazzle light.
A kind of image correcting method, run in electronic equipment, the method comprising the steps of: (a) obtains image; B () obtains brightness value in described image and is greater than the pixel of a predetermined luminance value, determine a minimum enclosing region according to this pixel, determines ghost in described image and/or dazzle the region at light place according to this minimum enclosing region; And (c) revises described ghost and/or dazzles the region at light place.
A kind of image correction system, be applied in electronic equipment, this system comprises: acquisition module, for obtaining image; Determination module, being greater than the pixel of a predetermined luminance value for obtaining brightness value in described image, determining a minimum enclosing region according to this pixel, and determines ghost in described image according to this minimum enclosing region and/or dazzle the region at light place; And correcting module, for revising described ghost and/or dazzling the region at light place.
Compared to prior art, image correcting method provided by the present invention and system, can ghost in image be determined according to the brightness value of pixel each in image and/or dazzle the region at light place, and utilize and open the methods such as operation, closed operation and area filling described region is processed, to utilize the ghost in the mode correction image of software and to dazzle light, revise without the need to the method by hardware, application is convenient, and cost is low.
Accompanying drawing explanation
Fig. 1 is the hardware structure figure of image correction system of the present invention preferred embodiment.
Fig. 2 is the operation process chart of image correcting method preferred embodiment of the present invention.
Fig. 3 comprises Fig. 3 A, Fig. 3 B, Fig. 3 C and Fig. 3 D, is the schematic diagram in determination ghost of the present invention and/or the region of dazzling light place.
Main element symbol description
| Electronic equipment | 100 |
| Image correction system | 10 |
| Acquisition module | 11 |
| Judge module | 12 |
| Determination module | 13 |
| Correcting module | 14 |
| Image unit | 20 |
| Storage unit | 30 |
Following embodiment will further illustrate the present invention in conjunction with above-mentioned accompanying drawing.
Embodiment
Consulting shown in Fig. 1, is the hardware structure figure of image correction system of the present invention preferred embodiment.This image correction system 10 runs in electronic equipment 100, and this electronic equipment 100 can be the electronic installation such as mobile phone, panel computer, palm PC (Personal Digital Assistant, PDA), video camera, camera.Described electronic equipment 100 can comprise an image unit 20.This image unit 20 is for taking the image of subject, and this subject can be personage, animal, plant etc.This electronic equipment 100 also comprises parts, as storage unit 30.The image that this storage unit 30 is taken gained image for storing image unit 20 or obtained from other data source, such as, from the image of external memory device acquisition or the image from web download.The parts 10-30 of mobile device is communicated by system bus.
Described image correction system 10 is for obtaining image from storage unit 30, and determine ghost in image according to the brightness value of pixel each in this image and/or dazzle the region at light place, and utilize and open operation, closed operation and area filling described region is processed, with the ghost in correction image with dazzle light.
This image correction system 10 comprises acquisition module 11, judge module 12, determination module 13 and correcting module 14.Module 11-14 comprises computerize programmed instruction.
Acquisition module 11 for obtaining image or directly obtaining image from shooting unit 20 from storage unit 30.Described image comprises multiple pixel, and each pixel is all to there being a brightness value.
Whether judge module 12 exists ghost for judging and/or dazzles light in described image.In this preferred embodiment, judge module 12 judges whether have brightness value to be greater than the pixel of a predetermined luminance value in described image.This predetermined luminance value is arranged according to ghost and the brightness value of dazzling light corresponding by system or user, such as, be 50lux(lux).When there being brightness value to be greater than the pixel of described predetermined luminance value in described image, judge module 12 judges there is ghost in described image and/or dazzle light.When not having brightness value to be greater than the pixel of described predetermined luminance value in described image, judge module 12 judges there is not ghost in described image and dazzle light.
It should be noted that, ghost and dazzle light and all occur in high light (such as indoor light, sunshine etc.) around, and the surrounding of high light is the place that in described image, brightness value is the highest.Judge module 12, by the brightness value of each pixel in the described image of detecting, judges the position at high light place, determines whether there is ghost in described image and/or dazzle light with this.
When there is ghost in described image and/or dazzling light, determination module 13 for determining ghost and/or dazzling the region at light place in described image.In this preferred embodiment, the pixel (hereafter will referred to as bright image vegetarian refreshments) that determination module 13 is greater than predetermined luminance value according to described brightness value determines a minimum enclosing region.In the present embodiment, all bright image vegetarian refreshments are connected to form multiple enclosed region by determination module 13 between two, and wherein, the maximum region can surrounding all bright image vegetarian refreshments is described minimum enclosing region.As having 9 bright image vegetarian refreshments in Fig. 3 A, as shown in Figure 3 B, be connected between two by these 9 pixels, the hexagon formed by 6 bright image vegetarian refreshments A ', B ', C ', D ', E ' and F ' obtained can surround all 9 bright image vegetarian refreshments, then the minimum enclosing region of this hexagon corresponding to Fig. 3 A.
Determination module 13 extracts the borderline bright image vegetarian refreshments of this minimum enclosing region, and for a nearest pixel searched by the bright image vegetarian refreshments of each extraction outside this minimum enclosing region.As shown in Figure 3 C, pixel A, B, C, D, E, F are the hexagonal summit in Fig. 3 B, the nearest pixel that namely bright image vegetarian refreshments A ', B ', C ', D ', E ' and F ' are corresponding respectively.Afterwards, the difference of the brightness value that determination module 13 calculates the bright image vegetarian refreshments of described extraction and the brightness value of corresponding pixel points found, and judged whether that difference is less than a preset difference value.This preset difference value by system or user preset, as being 5lux.
In this preferred embodiment, when the brightness value having the bright image vegetarian refreshments of extraction is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, determination module 13 is less than the pixel of preset difference value according to the difference of this brightness value and described bright image vegetarian refreshments redefines a minimum enclosing region, and determines that the minimum enclosing region that this redefines is ghost and/or the region of dazzling light place.As shown in Figure 3 D, described pixel A, C, F are the pixel that the difference of brightness value is less than preset difference value, redefine one by pixel A, C, D ', E ' and F forms a pentagonal minimum enclosing region.When the brightness value not having the bright image vegetarian refreshments extracted is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, the described minimum enclosing region determined according to bright image vegetarian refreshments is defined as ghost and/or dazzles the region at light place by determination module 13.
It should be noted that, determination module 13 as above is after determining minimum enclosing region according to bright image vegetarian refreshments, whether search this minimum enclosing region has pixel to meet the requirements outward, to determine whether to need to redefine minimum enclosing region, can avoid at correction ghost and/or after dazzling light region, because the pixel brightness value outside minimum enclosing region is excessive, and the brightness caused differs obvious phenomenon.In other embodiments, can directly be defined as ghost by determining according to bright image vegetarian refreshments minimum enclosing region and/or dazzle the region at light place, and not need to search this minimum enclosing region and whether have pixel to meet the requirements outward, with and redefine minimum enclosing region.
Correcting module 14 is for revising described ghost and/or dazzling the region at light place.This revised image can be stored in storage unit 30.In this preferred embodiment, correcting module 14 utilizes closed operation to be greater than the pixel of a predetermined threshold value to brightness value in the region processing described ghost and/or dazzle light place, and utilizes and open operation and process described ghost and/or dazzle brightness value in the region at light place and be not more than the pixel of described predetermined threshold value.This predetermined threshold value is determined by above-mentioned predetermined luminance value and preset difference value, and being the difference of predetermined luminance value and preset difference value, such as, is 45lux.Described closed operation for merging interruption narrow in pixel, and melts the medium and small cavity of pixel.Described open operation contrary with closed operation, for disconnecting interruption narrow in pixel, and eliminate protrusion thin in pixel.Afterwards, correcting module 14 is filled described ghost and/or all pixels of dazzling in the region at light place, i.e. Fill Color or pattern in the cavity of pixel and thin protrusion.
Consulting shown in Fig. 2, is the process flow diagram of image correcting method preferred embodiment of the present invention.
Step S10, acquisition module 11 obtains image or directly obtains image from shooting unit 20 from storage unit 30.Described image comprises multiple pixel, and each pixel is all to there being a brightness value.
Step S20, judge module 12 judges whether there is ghost in described image and/or dazzle light.When there is ghost in described image and/or dazzling light, perform step S30.When there is not ghost in described image and dazzling light, direct process ends.
In this preferred embodiment, judge module 12 judges whether have brightness value to be greater than the pixel of a predetermined luminance value in described image.This predetermined luminance value is arranged according to ghost and the brightness value of dazzling light corresponding by system or user, such as, be 50lux(lux).When there being brightness value to be greater than the pixel of described predetermined luminance value in described image, judge module 12 judges there is ghost in described image and/or dazzle light.When not having brightness value to be greater than the pixel of described predetermined luminance value in described image, judge module 12 judges there is not ghost in described image and dazzle light.
Step S30, determination module 13 is determined ghost and/or is dazzled the region at light place in described image.In this preferred embodiment, a minimum enclosing region determined by the bright image vegetarian refreshments that determination module 13 is greater than predetermined luminance value according to described brightness value.Described bright image vegetarian refreshments is connected to form multiple enclosed region by determination module 13 between two, and wherein, the maximum region of surrounding all bright image vegetarian refreshments is described minimum enclosing region.
Determination module 13 extracts the borderline bright image vegetarian refreshments of this minimum enclosing region, and for a nearest pixel searched by the bright image vegetarian refreshments of each extraction outside this minimum enclosing region.Afterwards, the difference of the brightness value that determination module 13 calculates the bright image vegetarian refreshments of described extraction and the brightness value of corresponding pixel points found, and judged whether that difference is less than a preset difference value.This preset difference value by system or user preset, as being 5lux.
In this preferred embodiment, when the brightness value having the bright image vegetarian refreshments of extraction is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, determination module 13 is less than the pixel of preset difference value according to the difference of this brightness value and described bright image vegetarian refreshments redefines a minimum enclosing region, and determines that the minimum enclosing region that this redefines is ghost and/or the region of dazzling light place.When the brightness value not having the bright image vegetarian refreshments extracted is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, the described minimum enclosing region determined according to bright image vegetarian refreshments is defined as ghost and/or dazzles the region at light place by determination module 13.
Step S40, correcting module 14 is revised described ghost and/or is dazzled the region at light place.This revised image can be stored in storage unit 30.In this preferred embodiment, correcting module 14 utilizes closed operation to be greater than the pixel of a predetermined threshold value to brightness value in the region processing described ghost and/or dazzle light place, and utilizes and open operation and process described ghost and/or dazzle brightness value in the region at light place and be not more than the pixel of described predetermined threshold value.This predetermined threshold value is determined by predetermined luminance value and preset difference value, and being the difference of predetermined luminance value and preset difference value, such as, is 45lux.Afterwards, correcting module 14 is filled described ghost and/or all pixels of dazzling in the region at light place.
It should be noted last that, above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, although with reference to above preferred embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that, can modify to technical scheme of the present invention or equivalent replacement, and not depart from the spirit and scope of technical solution of the present invention.
Claims (8)
1. an image correcting method, run in electronic equipment, it is characterized in that, the method comprises:
Obtaining step: obtain image;
Determining step: obtain brightness value in described image and be greater than the pixel of a predetermined luminance value, determine a minimum enclosing region according to this pixel, and determine ghost in described image according to this minimum enclosing region and/or dazzle the region at light place; And
Revise step: revise described ghost and/or dazzle the region at light place.
2. image correcting method as claimed in claim 1, it is characterized in that, described minimum enclosing region is by being connected to form multiple enclosed region between two by obtained pixel, and the maximum region of wherein surrounding all obtained pixels is described minimum enclosing region.
3. image correcting method as claimed in claim 1, it is characterized in that, described determining step is determined described ghost by following steps and/or is dazzled the region at light place:
Extract the borderline pixel of this minimum enclosing region, and for the pixel of each extraction searches a nearest pixel outside this minimum enclosing region;
The difference of the brightness value calculating the pixel of described extraction and the brightness value of corresponding pixel points found, and judged whether that difference is less than a preset difference value;
When the brightness value having the pixel of extraction is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, the pixel being less than preset difference value according to the difference of this brightness value and the pixel obtained redefine a minimum enclosing region, and determine that the minimum enclosing region that this redefines is ghost and/or the region of dazzling light place; And
When the brightness value not having the pixel extracted is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, the minimum enclosing region determined according to obtained pixel is defined as ghost and/or dazzles the region at light place.
4. image correcting method as claimed in claim 1, it is characterized in that, described correction step comprises:
In the region utilizing ghost described in closed operation process and/or dazzle light place, brightness value is greater than the pixel of a predetermined threshold value, and utilizes brightness value in the region of opening ghost described in operational processes and/or dazzling light place to be not more than the pixel of described predetermined threshold value; And
Described ghost and/or all pixels of dazzling in the region at light place are filled.
5. an image correction system, is applied in electronic equipment, it is characterized in that, this system comprises:
Acquisition module, for obtaining image;
Determination module, being greater than the pixel of a predetermined luminance value for obtaining brightness value in described image, determining a minimum enclosing region according to this pixel, and determines ghost in described image according to this minimum enclosing region and/or dazzle the region at light place; And
Correcting module, for revising described ghost and/or dazzling the region at light place.
6. image correction system as claimed in claim 5, it is characterized in that, described minimum enclosing region is by being connected to form multiple enclosed region between two by obtained pixel, and the maximum region of wherein surrounding all obtained pixels is described minimum enclosing region.
7. image correction system as claimed in claim 5, it is characterized in that, described determination module is determined described ghost by following steps and/or is dazzled the region at light place:
Extract the borderline pixel of this minimum enclosing region, and for the pixel of each extraction searches a nearest pixel outside this minimum enclosing region;
The difference of the brightness value calculating the pixel of described extraction and the brightness value of corresponding pixel points found, and judged whether that difference is less than a preset difference value;
When the brightness value having the pixel of extraction is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, the pixel being less than preset difference value according to the difference of this brightness value and the pixel obtained redefine a minimum enclosing region, and determine that the minimum enclosing region that this redefines is ghost and/or the region of dazzling light place; And
When the brightness value not having the pixel extracted is less than described preset difference value with the difference of the brightness value of the corresponding pixel points found, the minimum enclosing region determined according to obtained pixel is defined as ghost and/or dazzles the region at light place.
8. image correction system as claimed in claim 5, it is characterized in that, described correcting module is by ghost described in following steps correction and/or the region of dazzling light place:
In the region utilizing ghost described in closed operation process and/or dazzle light place, brightness value is greater than the pixel of a predetermined threshold value, and utilizes brightness value in the region of opening ghost described in operational processes and/or dazzling light place to be not more than the pixel of described predetermined threshold value; And
Described ghost and/or all pixels of dazzling in the region at light place are filled.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310301477.9A CN104299188B (en) | 2013-07-18 | 2013-07-18 | Image correcting method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310301477.9A CN104299188B (en) | 2013-07-18 | 2013-07-18 | Image correcting method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104299188A true CN104299188A (en) | 2015-01-21 |
| CN104299188B CN104299188B (en) | 2018-10-30 |
Family
ID=52318909
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310301477.9A Active CN104299188B (en) | 2013-07-18 | 2013-07-18 | Image correcting method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104299188B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105631883A (en) * | 2015-12-31 | 2016-06-01 | 青岛海信移动通信技术股份有限公司 | Method and device for determining target regions in image |
| CN106210555A (en) * | 2016-07-29 | 2016-12-07 | 广东欧珀移动通信有限公司 | Anti-glazing optical processing method, device and electronic equipment |
| WO2019085023A1 (en) * | 2017-10-31 | 2019-05-09 | 武汉华星光电技术有限公司 | Method and system for improving ghosting in display picture |
| CN109993715A (en) * | 2019-04-11 | 2019-07-09 | 杨勇 | A kind of robot vision image preprocessing system and image processing method |
| CN110135235A (en) * | 2019-03-13 | 2019-08-16 | 北京车和家信息技术有限公司 | A kind of dazzle processing method, device and vehicle |
| CN110557575A (en) * | 2019-08-28 | 2019-12-10 | 维沃移动通信有限公司 | method for eliminating glare and electronic equipment |
| CN112819854A (en) * | 2021-02-02 | 2021-05-18 | 歌尔光学科技有限公司 | Ghost detection method, ghost detection apparatus, and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1993707A (en) * | 2004-07-30 | 2007-07-04 | 佳能株式会社 | Image processing method and apparatus, image sensing apparatus, and program |
| US20070286533A1 (en) * | 2006-05-17 | 2007-12-13 | Sony Corporation | Image correction circuit, image correction method and image display |
| CN101909131A (en) * | 2009-06-05 | 2010-12-08 | 佳能株式会社 | Recording-medium imaging device and image forming apparatus |
| CN101978680A (en) * | 2008-03-18 | 2011-02-16 | 富士通株式会社 | Computer readable storage medium, image correction apparatus, and image correction method |
-
2013
- 2013-07-18 CN CN201310301477.9A patent/CN104299188B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1993707A (en) * | 2004-07-30 | 2007-07-04 | 佳能株式会社 | Image processing method and apparatus, image sensing apparatus, and program |
| US20070286533A1 (en) * | 2006-05-17 | 2007-12-13 | Sony Corporation | Image correction circuit, image correction method and image display |
| CN101978680A (en) * | 2008-03-18 | 2011-02-16 | 富士通株式会社 | Computer readable storage medium, image correction apparatus, and image correction method |
| CN101909131A (en) * | 2009-06-05 | 2010-12-08 | 佳能株式会社 | Recording-medium imaging device and image forming apparatus |
Non-Patent Citations (4)
| Title |
|---|
| 周孝宽: "彩色图象光斑的识别及分割", 《北京航空航天大学学报》 * |
| 孙欣欣 等: "基于最佳分析窗口的高光检测", 《计算机工程与设计》 * |
| 王超群, 朱方文: "一种去除单张图片中高光的方法", 《上海大学学报(自然科学版)》 * |
| 黎淑梅: "基于双目视觉的大尺寸工件在机三维测量", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105631883A (en) * | 2015-12-31 | 2016-06-01 | 青岛海信移动通信技术股份有限公司 | Method and device for determining target regions in image |
| CN105631883B (en) * | 2015-12-31 | 2018-08-07 | 青岛海信移动通信技术股份有限公司 | A kind of method and apparatus of target area in determining image |
| CN106210555A (en) * | 2016-07-29 | 2016-12-07 | 广东欧珀移动通信有限公司 | Anti-glazing optical processing method, device and electronic equipment |
| CN106210555B (en) * | 2016-07-29 | 2017-11-24 | 广东欧珀移动通信有限公司 | Anti-glazing light processing method, apparatus and electronic equipment |
| WO2019085023A1 (en) * | 2017-10-31 | 2019-05-09 | 武汉华星光电技术有限公司 | Method and system for improving ghosting in display picture |
| US10515608B2 (en) | 2017-10-31 | 2019-12-24 | Wuhan China Star Optoelectronics Technology Co., Ltd. | Method and system for improving ghosting in display screen |
| CN110135235A (en) * | 2019-03-13 | 2019-08-16 | 北京车和家信息技术有限公司 | A kind of dazzle processing method, device and vehicle |
| CN110135235B (en) * | 2019-03-13 | 2022-04-19 | 北京车和家信息技术有限公司 | Glare processing method and device and vehicle |
| CN109993715A (en) * | 2019-04-11 | 2019-07-09 | 杨勇 | A kind of robot vision image preprocessing system and image processing method |
| CN110557575A (en) * | 2019-08-28 | 2019-12-10 | 维沃移动通信有限公司 | method for eliminating glare and electronic equipment |
| CN110557575B (en) * | 2019-08-28 | 2021-04-27 | 维沃移动通信有限公司 | Method for eliminating glare and electronic equipment |
| CN112819854A (en) * | 2021-02-02 | 2021-05-18 | 歌尔光学科技有限公司 | Ghost detection method, ghost detection apparatus, and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104299188B (en) | 2018-10-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104299188A (en) | Image correction method and image correction system | |
| JP5958538B2 (en) | COLOR CONTROL METHOD, COMMUNICATION DEVICE, COMPUTER-READABLE PROGRAM, AND STORAGE MEDIUM | |
| TWI752084B (en) | Display apparatus | |
| JP6156163B2 (en) | Image processing apparatus and image processing method | |
| US8994845B2 (en) | System and method of adjusting a camera based on image data | |
| US9813635B2 (en) | Method and apparatus for auto exposure value detection for high dynamic range imaging | |
| CN111083388B (en) | Light supplement lamp control method and device, electronic equipment and storage medium | |
| US9495004B2 (en) | Display device adjustment by control device | |
| CN106161984B (en) | Video image highlight suppression, contour and detail enhancement processing method and system | |
| CN105812674A (en) | Signal lamp color correction method, monitoring method, and device thereof | |
| CN106534677B (en) | Image overexposure optimization method and device | |
| CN107948634B (en) | Image dead pixel detection method and device and image processing chip | |
| CN109697698B (en) | Low illuminance enhancement processing method, apparatus and computer readable storage medium | |
| US20140306943A1 (en) | Electronic device and method for adjusting backlight of electronic device | |
| US20100328488A1 (en) | Apparatus, methods and computer readable storage mediums | |
| CN109996377B (en) | Street lamp control method and device and electronic equipment | |
| CN104240227A (en) | Image analysis system and method | |
| CN103440658B (en) | Automatically remove method and the device of photo purple boundary | |
| WO2019021412A1 (en) | Location estimation device, location estimation method, and program recording medium | |
| EP3806448A1 (en) | Image capture device, control method, and machine readable storage medium | |
| KR20130012749A (en) | Video enhancer and video image processing method | |
| KR20140147211A (en) | Method for Detecting Fog for Vehicle and Apparatus therefor | |
| US20160078844A1 (en) | Electronic device and method for controlling display device of the electronic device | |
| US20220375131A1 (en) | Camera device and image processing method | |
| CN105898156A (en) | Shooting method and system based on reduction of luminance values |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20191121 Address after: Room 2, west of the second floor, No. 355, Huanbei West Road, Weitang street, Jiashan County, Jiaxing City, Zhejiang Province Patentee after: Jiashan Weitang Asset Management Co.,Ltd. Address before: 518109 F3 building, Foxconn science and Technology Industrial Park, Longhua Town, Shenzhen, Guangdong, A, China Co-patentee before: Chi Mei Communication Systems, Inc. Patentee before: Shenzhen Futaihong Precision Industry Co.,Ltd. |
|
| TR01 | Transfer of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Image correction method and system Effective date of registration: 20210531 Granted publication date: 20181030 Pledgee: Weitang sub branch of Zhejiang Jiashan Rural Commercial Bank Co.,Ltd. Pledgor: Jiashan Weitang Asset Management Co.,Ltd. Registration number: Y2021980004130 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Date of cancellation: 20231018 Granted publication date: 20181030 Pledgee: Weitang sub branch of Zhejiang Jiashan Rural Commercial Bank Co.,Ltd. Pledgor: Jiashan Weitang Asset Management Co.,Ltd. Registration number: Y2021980004130 |
|
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Image correction methods and systems Effective date of registration: 20231127 Granted publication date: 20181030 Pledgee: Weitang sub branch of Zhejiang Jiashan Rural Commercial Bank Co.,Ltd. Pledgor: Jiashan Weitang Asset Management Co.,Ltd. Registration number: Y2023330002807 |