CN110310230A - A kind of demura hardware implementation method for saving hardware memory space - Google Patents
A kind of demura hardware implementation method for saving hardware memory space Download PDFInfo
- Publication number
- CN110310230A CN110310230A CN201810227148.7A CN201810227148A CN110310230A CN 110310230 A CN110310230 A CN 110310230A CN 201810227148 A CN201810227148 A CN 201810227148A CN 110310230 A CN110310230 A CN 110310230A
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- Prior art keywords
- demura
- hardware
- memory space
- image
- implementation method
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 239000003086 colorant Substances 0.000 claims description 4
- 238000010191 image analysis Methods 0.000 claims description 2
- 229920001621 AMOLED Polymers 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Studio Devices (AREA)
- Processing Of Color Television Signals (AREA)
Abstract
The present invention relates to a kind of demura hardware implementation methods for saving hardware memory space.Step S1, picture catching;Step S2, according to the mura level of captured image, judge the size of required compensation block;Step S3, the offset of each compensation block is calculated;Step S4, image is compensated.The method of the present invention can save the hardware space of demura.
Description
Technical field
The present invention relates to a kind of demura hardware implementation methods for saving hardware memory space.
Background technique
As shown in Figure 1, each sub-pixel of AMOLED (sub-pixel) has different offsets, required hardware space
It is larger;
(1), the demura hardware space of the prior art:
Wherein, m*n is screen resolution (panel resolution),
To compensate width (each sub-pixel).
(2), the demura hardware realization step of the prior art:
STEP-1: picture catching.
STEP-2: the offset of each sub-pixel is calculated.
STEP-3: according to offset, image is compensated.
Wherein, each sub-pixel of the prior art is different offset, can occupy the hardware of larger space.
As it can be seen that AMOLED dumra it is hard-wired in the prior art, each sub-pixel is different compensation
Value, can occupy biggish hardware space.And the realization space of hardware is limited, it is therefore desirable to reduce the sky of hardware used in demura
Between.
Summary of the invention
The purpose of the present invention is to provide a kind of demura hardware implementation methods for saving hardware memory space, can save
The hardware space of demura.
To achieve the above object, the technical scheme is that a kind of demura hardware for saving hardware memory space is real
Existing method, includes the following steps,
Step S1, picture catching;
Step S2, according to the mura level of captured image, judge the size of required compensation block;
Step S3, the offset of each compensation block is calculated;
Step S4, image is compensated.
In an embodiment of the present invention, in the step S1, picture catching is real in such a way that CCD camera shoots image
It is existing.
In an embodiment of the present invention, in the step S2, the mura level of image is captured, is by capture image point
Pixel lightness colors distribution characteristics is analysed, and then mura level is identified according to algorithm.
In an embodiment of the present invention, in the step S3, the offset for calculating each compensation block is
Demura data are generated according to mura data and corresponding demura backoff algorithm.
In an embodiment of the present invention, in the step S4, image compensation is completed according to the demura data of generation.
Compared to the prior art, the invention has the following advantages: the method for the present invention can save the hardware of demura
Space.
Detailed description of the invention
Fig. 1 is AMOLED panel schematic diagram.
Fig. 2 is system architecture of the invention.
Specific embodiment
With reference to the accompanying drawing, technical solution of the present invention is specifically described.
A kind of demura hardware implementation method of saving hardware memory space of the invention, includes the following steps,
Step S1, picture catching;
Step S2, according to the mura level of captured image, judge the size of required compensation block;
Step S3, the offset of each compensation block is calculated;
Step S4, image is compensated.
In the step S1, picture catching is realized in such a way that CCD camera shoots image.
In the step S2, the mura level of image is captured, is by capture image analysis pixel lightness colors distribution
Feature, and then mura level is identified according to algorithm.
In the step S3, the offset for calculating each compensation block is according to mura data and corresponding
Demura backoff algorithm generates demura data.
In the step S4, image compensation is completed according to the demura data of generation.
The following are specific implementation processes of the invention.
The demura hardware implementation method of saving hardware memory space of the invention, the specific implementation steps are as follows:
STEP-1: picture catching.
STEP-2: according to the mura level of captured picture, judge the size of required compensation block.
(if high frequency mura, block is smaller;If low frequency mura, block can be larger, saves hardware with this.)
STEP-3: the offset of each compensation block is calculated.
STEP-4: image is compensated.
The system architecture of the method for the present invention is as follows:
(a) mura analysis part (mura analysis unit), panel are shown several pictures (grayscale or RGB), are used
CCD camera shoots image, and analysis of data collected pixel lightness colors distribution characteristics identifies mura according to related algorithm.
(b) compensation block calculating section (compensation block calculation unit), according to mura high
The size of compensation block needed for low frequency degree judges, further according to mura data and corresponding demura backoff algorithm
Generate demura data.
(c) the compensation part (compensation unit) completes to compensate according to the demura data of generation.
The above are preferred embodiments of the present invention, all any changes made according to the technical solution of the present invention, and generated function is made
When with range without departing from technical solution of the present invention, all belong to the scope of protection of the present invention.
Claims (5)
1. a kind of demura hardware implementation method for saving hardware memory space, which is characterized in that include the following steps,
Step S1, picture catching;
Step S2, according to the mura level of captured image, judge the size of required compensation block;
Step S3, the offset of each compensation block is calculated;
Step S4, image is compensated.
2. a kind of demura hardware implementation method for saving hardware memory space shown according to claim 1, which is characterized in that
In the step S1, picture catching is realized in such a way that CCD camera shoots image.
3. a kind of demura hardware implementation method for saving hardware memory space shown according to claim 1, which is characterized in that
In the step S2, capture the mura level of image, be by capture image analysis pixel lightness colors distribution characteristics, into
And mura level is identified according to algorithm.
4. a kind of demura hardware implementation method for saving hardware memory space shown according to claim 1, which is characterized in that
In the step S3, the offset for calculating each compensation block is mended according to mura data and corresponding demura
It repays algorithm and generates demura data.
5. a kind of demura hardware implementation method for saving hardware memory space according to shown in claim 4, which is characterized in that
In the step S4, image compensation is completed according to the demura data of generation.
Priority Applications (1)
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CN201810227148.7A CN110310230A (en) | 2018-03-20 | 2018-03-20 | A kind of demura hardware implementation method for saving hardware memory space |
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CN201810227148.7A CN110310230A (en) | 2018-03-20 | 2018-03-20 | A kind of demura hardware implementation method for saving hardware memory space |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105719611A (en) * | 2016-03-30 | 2016-06-29 | 青岛海信电器股份有限公司 | Display uniformity adjusting method and device for liquid crystal display equipment |
CN107240384A (en) * | 2017-08-11 | 2017-10-10 | 芯颖科技有限公司 | display brightness compensation method and device |
CN107408367A (en) * | 2015-03-20 | 2017-11-28 | 华为技术有限公司 | It is a kind of to correct display screen uneven method, apparatus and system |
-
2018
- 2018-03-20 CN CN201810227148.7A patent/CN110310230A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107408367A (en) * | 2015-03-20 | 2017-11-28 | 华为技术有限公司 | It is a kind of to correct display screen uneven method, apparatus and system |
CN105719611A (en) * | 2016-03-30 | 2016-06-29 | 青岛海信电器股份有限公司 | Display uniformity adjusting method and device for liquid crystal display equipment |
CN107240384A (en) * | 2017-08-11 | 2017-10-10 | 芯颖科技有限公司 | display brightness compensation method and device |
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Application publication date: 20191008 |