CN109982022A - The video refreshing method of minimum color difference can be examined based on human eye - Google Patents
The video refreshing method of minimum color difference can be examined based on human eye Download PDFInfo
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- CN109982022A CN109982022A CN201910315350.XA CN201910315350A CN109982022A CN 109982022 A CN109982022 A CN 109982022A CN 201910315350 A CN201910315350 A CN 201910315350A CN 109982022 A CN109982022 A CN 109982022A
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- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000006243 chemical reaction Methods 0.000 claims description 14
- 238000004737 colorimetric analysis Methods 0.000 claims description 6
- 230000035945 sensitivity Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 description 2
- 238000013442 quality metrics Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004040 coloring Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
- H04N7/0127—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level by changing the field or frame frequency of the incoming video signal, e.g. frame rate converter
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- Engineering & Computer Science (AREA)
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- Control Of Indicators Other Than Cathode Ray Tubes (AREA)
- Controls And Circuits For Display Device (AREA)
- Liquid Crystal Display Device Control (AREA)
Abstract
It the invention discloses the video refreshing method that can examine minimum color difference based on human eye, comprises the following steps that and color gamut transformation is carried out to video image, calculate respective pixel color difference between consecutive frame, judge whether current display pixel needs to refresh.The present invention is intended to provide a kind of video refreshing method of low-power consumption, this method, to the tolerance of color difference, realizes the incomplete refreshing of video image according to human eye, and then reduces video refresh power consumption.The present invention provides a kind of methods that can reduce video refresh power consumption, and the refreshing of video can be realized in the case where not influencing video pictures pixel.
Description
Technical field
The invention belongs to video refresh process, the video for being particularly based on bistable display technologies refreshes.
Background technique
With the development of display technology, there is a kind of color bi-stable display.This type display can be disconnected
Continue to keep video pictures in electric situation.During Video Quality Metric, need to consume higher image converted power consumption.In order to effective
Reduction Video Quality Metric power consumption, need to optimize video refresh process.
Current solution has following several at present.One, by adjusting video refresh circuit, refresh power consumption is reduced.Two,
Whether identical according to pixel between consecutive frame, reducing video image refreshing pixels reduces refresh power consumption.
Above solution all has some disadvantages.Once first way circuit is designed, just it is now uniquely determined
Can not adjust can not accomplish adaptively.The second way is only applicable to the black white image of dull coloring, to complicated colored view
Frequency image is simultaneously not suitable for.Therefore, it is necessary to develop a kind of new video refreshing method, reach can reduce video refresh power consumption but also
Color video frequency image is adapted to, while not influencing the purpose of video pictures quality.
Summary of the invention
Technical problems to be solved
It is the full refresh mode of all pixels that existing bistable state video image, which refreshes mode, or ignores human eye to color difference
Sensitivity directly judges whether to need to refresh so that whether adjacent interframe respective pixel is completely the same for standard.
Technical solution
The present invention provides a kind of video refreshing methods that minimum color difference can be examined based on human eye, overcome existing both full-pixel brush
The shortcomings that reducing image refreshing power consumption to the limit can not newly be done.This method using human eye to the sensitivity of color difference as view
The foundation of frequency image refreshing, to reduce the image converted power consumption that bistable display plays color video.
The video refreshing method that minimum color difference can be examined based on human eye, by video data conversion module, Colorimetry and refreshing
Three parts of arbiter are constituted；Video data conversion module is responsible for carrying out color conversion to video image, to obtain unified color
Color space；Colorimetry is carried out to the respective pixel on the adjacent moment video image after conversion；Refresh arbiter according to calculating
Color difference and human eye between the respective pixel of acquisition can examine minimum color difference threshold and differentiate that video pixel is to refresh also to be to continue with holding.
Specific technical solution comprises the steps of:
Step 1: video data conversion module.
Remember It(x, y), t=1,2 ..., k ..., n. indicate that t frame coordinate is the video image pixel value of (x, y)；N is view
Frequency sequence totalframes；The video image color space is RGB.According to color gamut conversion standard, video sequence is transformed into
CIELAB color space Lt(x, y), at(x, y), bt(x, y), t=1,2 ..., k ..., n.
Step 2: Colorimetry.
Remember Lk(x, y), ak(x, y), bk(x, y), Lk+1(x, y), ak+1(x, y), bk+1(x, y) is that present frame k and a later frame k+1 schemes
As the chrominance component in CIELAB color space.Calculate separately the difference between each color component
ΔL*(x, y)=| Lk(x, y)-Lk-1(x, y) |
Δa*(x, y)=| ak(x, y)-ak-1(x, y) |
Δb*(x, y)=| bk(x, y)-bk-1(x, y) |
Remember Δ E (x, y)=[Δ L*(x, y)2+Δa*(x, y)2+Δb*(x, y)2]1/2Color difference between pixel.
Step 3: refreshing arbiter.
Note th is flushes threshold value, as Δ E (x, y) < th, then current video image Ik(x, y) continues to keep；When Δ E (x, y) >=
Th, then it is I that video, which refreshes,k+1(x, y).
Beneficial effect
The low-power-consumption video video that the present invention is able to achieve bistable display refreshes.Video refresh process is according to human eye to color
The minimum of difference can examine color difference and carry out color difference judgement to the respective pixel of consecutive frame, can effectively reduce video image conversion function
Rate, while not influencing viewing effect.
Detailed description of the invention
Attached drawing 1, schematic structural view of the invention
Attached drawing 2, the present invention in 4 50 frame videos of video sequence pixel conservation rate.
Attached drawing 3, the present invention in 4 the 40th frame data of video sequence according to refresh regular refresh after with raw video image pair
Than figure.
Specific embodiment (embodiment)
To keep the present invention apparent understandable, hereby with specific embodiment, and attached drawing is cooperated to be described below in detail.
As shown in Figure 1, mainly thinking the invention discloses a kind of video refreshing method that can examine minimum color difference based on human eye
Want using human eye to refresh the tolerance level of color difference to reduce video as the foundation for judging whether video image needs to refresh
Journey bring image converted power consumption.
Remember It(x, y), t=1,2 ..., k ..., n. indicate that t frame coordinate is the video image pixel value of (x, y)；N is view
Frequency sequence totalframes；The video image color space is RGB.According to color gamut conversion standard, video sequence is transformed into
CIELAB color space Lt(x, y), at(x, y), bt(x, y), t=1,2 ..., k ..., n.
Step 2: Colorimetry.
Remember Lk(x, y), ak(x, y), bk(x, y), Lk+1(x, y), ak+1(x, y), bk+1(x, y) is that present frame k and a later frame k+1 schemes
As the chrominance component in CIELAB color space.Calculate separately the difference between each color component
ΔL*(x, y)=| Lk(x, y)-Lk-1(x, y) |
Δa*(x, y)=| ak(x, y)-ak-1(x, y) |
Δb*(x, y)=| bk(x, y)-bk-1(x, y) |
Remember Δ E (x, y)=[Δ L*(x, y)2+Δa*(x, y)2+Δb*(x, y)2]1/2Color difference between pixel.
Step 3: refreshing arbiter.
Note th is flushes threshold value, as Δ E (x, y) < th, then current video image Ik(x, y) continues to keep；When Δ E (x, y) >=
Th, then it is I that video, which refreshes,k+1(x, y).Here th=2.3.
To verify reliability of the invention, 4 different video sequences are tested, 50 frame figures of each video sequence have been counted
The pixel conservation rate of picture is as shown in Fig. 2, the comparison of image and original image after refreshing is as shown in Figure 3.Experiment display this 4 is different
For video sequence herein under refreshing standard, each video sequence has a certain amount of pixel to be retained, and human eye in observation simultaneously
Obviously do not discover them to have differences with original image.
Claims (6)
1. the video refreshing method of minimum color difference can be examined based on human eye, it is characterised in that by video data conversion module, colour difference meter
It calculates and refreshes arbiter and constitute；Video data conversion module is responsible for carrying out color conversion to video image, to obtain unified color
Color space；Colorimetry is carried out to the respective pixel on the adjacent moment video image after conversion；Refresh arbiter according to calculating
Color difference and human eye between the respective pixel of acquisition can examine minimum color difference threshold and differentiate that video pixel is to refresh also to be to continue with holding.
2. the video refreshing method according to claim 1 that minimum color difference can be examined based on human eye, which is characterized in that described
Steps are as follows for video data conversion module:
Remember It(x, y), t=1,2 ..., k ..., n. indicate that t frame coordinate is the video image pixel value of (x, y)；N is video sequence
Column totalframes；The video image color space is RGB.According to color gamut conversion standard, video sequence is transformed into CIELAB
Color space.
3. the video refreshing method according to claim 1 that minimum color difference can be examined based on human eye, which is characterized in that colour difference meter
Steps are as follows for calculation:
Remember Lk(x, y), ak(x, y), bk(x, y), Lk+1(x, y), ak+1(x, y), bk+1(x, y) is that present frame k and a later frame k+1 schemes
As the chrominance component in CIELAB color space.The difference in image between each each color component of pixel is calculated separately, according to
Color difference between the Colorimetry formula meter respective pixel of standard, is denoted as Δ E (x, y).
4. the video refreshing method according to claim 1 that minimum color difference can be examined based on human eye, which is characterized in that refreshing is sentenced
Other device constructive method are as follows:
Note th is flushes threshold value, when Δ E (x, y) is less than threshold value th, then current video image Ik(x, y) continues to keep；As Δ E
When (x, y) is greater than or equal to threshold value th, then it is I that video, which refreshes,k+1(x, y).
5. the video refreshing method according to claim 4 that minimum color difference can be examined based on human eye, which is characterized in that after continuation of insurance
The pixel held over the display will not generate image converted power consumption.
6. according to claim 1 with the video refreshing method as claimed in claim 4 that minimum color difference can be examined based on human eye, feature
It is, flushes threshold value can according to the observation determine color difference sensitivity and video complexity.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110646352A (en) * | 2019-10-18 | 2020-01-03 | 江南大学 | Method for identifying different-color spun yarn bobbin |
| CN117975912A (en) * | 2024-03-28 | 2024-05-03 | 深圳市善之能科技有限公司 | Image refreshing method and system for display screen in equipment |
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| CN102868891A (en) * | 2012-09-18 | 2013-01-09 | 哈尔滨商业大学 | Multi-angle view video chromatic aberration correction method based on support vector regression |
| CN107040776A (en) * | 2017-03-29 | 2017-08-11 | 华南理工大学 | A kind of video quality evaluation method based on HDR |
| CN107147912A (en) * | 2017-05-04 | 2017-09-08 | 浙江大华技术股份有限公司 | A kind of method for video coding and device |
| CN109525847A (en) * | 2018-11-13 | 2019-03-26 | 华侨大学 | A kind of just discernable distortion model threshold value calculation method |
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2019
- 2019-04-17 CN CN201910315350.XA patent/CN109982022A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102868891A (en) * | 2012-09-18 | 2013-01-09 | 哈尔滨商业大学 | Multi-angle view video chromatic aberration correction method based on support vector regression |
| CN107040776A (en) * | 2017-03-29 | 2017-08-11 | 华南理工大学 | A kind of video quality evaluation method based on HDR |
| CN107147912A (en) * | 2017-05-04 | 2017-09-08 | 浙江大华技术股份有限公司 | A kind of method for video coding and device |
| CN109525847A (en) * | 2018-11-13 | 2019-03-26 | 华侨大学 | A kind of just discernable distortion model threshold value calculation method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110646352A (en) * | 2019-10-18 | 2020-01-03 | 江南大学 | Method for identifying different-color spun yarn bobbin |
| CN110646352B (en) * | 2019-10-18 | 2021-07-23 | 江南大学 | Method for identifying different-color spun yarn bobbin |
| CN117975912A (en) * | 2024-03-28 | 2024-05-03 | 深圳市善之能科技有限公司 | Image refreshing method and system for display screen in equipment |
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