CN106331432A - Image processing method and image processing system - Google Patents
Image processing method and image processing system Download PDFInfo
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- CN106331432A CN106331432A CN201610975921.9A CN201610975921A CN106331432A CN 106331432 A CN106331432 A CN 106331432A CN 201610975921 A CN201610975921 A CN 201610975921A CN 106331432 A CN106331432 A CN 106331432A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N9/00—Details of colour television systems
- H04N9/64—Circuits for processing colour signals
- H04N9/646—Circuits for processing colour signals for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters
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Abstract
The invention discloses an image processing method and an image processing system. The processing method includes the steps that an original image is displayed on a display device to form a current image, wherein the current image is provided with a first sharp boundary; an image capture device grasps the current image to obtain a first captured image, the first capture image comprises fuzzy regions, a first adjacent region and a second adjacent region, the fuzzy regions comprise the first fuzzy region and the second fuzzy region, the first capture image in the first adjacent region is copied into the first fuzzy region, the first capture image in the second adjacent region is copied into the second fuzzy region, and a second capture image is formed; the second capture image comprises multiple pixels, actual gray-scale values of the pixels are obtained, gray-scale compensation values corresponding to the pixels are calculated, and the actual gray-scale value of each pixel is combined with the corresponding gray-scale compensation value and subjected to gray-scale compensation. The method and the system can solve the problem that brightness of displayed images is not uniform.
Description
Technical field
The present invention relates to a kind of picture processing method and picture processing system, especially with respect to a kind of display device owing to dividing
Picture processing method when district drives display to cause shown image to there is sharp edges and picture processing system.
Background technology
Along with the resolution of display device is required more and more higher by user so that display device is divided into several sub-viewing areas
Carry out separately-driven mode to carry out picture and show, owing to driving voltage error, upper and lower circuit are asymmetric or fabrication errors etc.
Factor, easily occurs sharp edges (sharp boundary) on display screen.Additionally, general display device comprises
Display floater and backlight module, display floater is assembled on backlight module, during making display device, due to display surface
The factors such as unstable or backlight module the uniformity of the processing procedure of plate is the best, brightness is not when showing image to easily cause display device
Uniformly so that shown image fault.
The method of the most conventional correcting image distorsion is to capture in the image shown by display device first with camera
The gray-scale distribution situation of each pixel, then calculates the penalty coefficient corresponding to each pixel in image, and amendment color range consults table
(tone scale LUT), compensates with the grey decision-making to each pixel, reaches to improve the purpose of brightness irregularities.Pick at camera
When taking image, in order to avoid the generation of moire fringes (moire), can select to carry out capture under camera is in situation out of focus, this
Time image in sharp edges can thicken because of the capture out of focus of camera, spread, cause camera to get the image of mistake,
Affect follow-up compensation effect.Storage additionally, based on cost viewpoint, color range consults table can make simplification action, needed for reducing
Space, when need the grey decision-making of pixel each in image consult with color range table merge time, color range is first consulted table and is done and extend by needs
Action, be such as extended by interpolation so that the sharp edges in image causes final compensation effect because of interpolation
The best.
Summary of the invention
It is an object of the invention to provide a kind of picture processing method, to solve in prior art owing to the out of focus of camera takes
As and the compensation effect that causes of interpolation intermediate value is the best time extension color range consults table problem.
In order to achieve the above object, the present invention proposes a kind of picture processing method, comprises:
Step A, is shown in raw frames in display device by the way of subregion drives, to form current picture, and should
Current picture correspondence district location has the first sharp edges, without this first sharp edges in this raw frames；
Step B, picture capture device captures this current picture and captures picture to obtain first, and this first acquisition picture comprises
Fuzzy region, the first adjacent domain and the second adjacent domain, this fuzzy region to should the first sharp edges, this fuzzy region bag
Containing the first fuzzy region of being connected and the second fuzzy region, this first adjacent domain, this first fuzzy region, this second obscures
Region and this second adjacent domain are the most adjacent；
Step C, first captures picture by this in this first adjacent domain and is replicated in this first fuzzy region, by this
This first acquisition picture in two adjacent domains is replicated in this second fuzzy region, to form the second acquisition picture；And
Step D, this second acquisition picture comprises multiple pixel, obtains the actual gray value of the plurality of pixel, and it is right to calculate
Should the gray scale compensation value of multiple pixels, this actual gray value of each pixel is merged with this corresponding gray scale compensation value to enter
Row gray scale compensation.
As optional technical scheme, this first adjacent domain is connected with this first fuzzy region.
As optional technical scheme, the area of this first adjacent domain is equal to the area of this first fuzzy region.
As optional technical scheme, step D also includes calculating corresponding the plurality of pixel according to contrast sensitivity function
Gray scale compensation value.
As optional technical scheme, after step D also includes calculating the gray scale compensation value of corresponding the plurality of pixel, formed
Original color range consults table, this original color range is consulted after table is extended and this current picture merges to carry out GTG benefit
Repay.
As optional technical scheme, define this original color range and consult in table should the position of the first sharp edges be
One position, consults table by this original color range and is divided into Part I and Part II with this primary importance for boundary, by this Part I
And this Part II extends respectively, this primary importance is not extended, and consults table forming the first color range, and step D is also wrapped
Include and this first color range is consulted table and this current picture merge to carry out gray scale compensation.
As optional technical scheme, define this original color range and consult in table should the position of the first sharp edges be
One position, consults table by this original color range and is extended, and consults table forming the second color range, and this second color range is consulted table and had
One value region, second value region and third value region, this first value region is to should original color range consult in table
This primary importance, this first value region has the sub-value region of symmetrical first and the second sub-value region, and this is second years old
Value region, this first sub-value region, this second sub-value region and this third value region are the most adjacent, and step D is also
Including the content in this second value region copies to this first sub-value region, this is multiple by the content in third value region
System to this second sub-value region, is consulted table forming tertiary color rank, these tertiary color rank is consulted table and carries out with this current picture
Merge to carry out gray scale compensation.
Area equation as optional technical scheme, this second value region and this first sub-value region.
As optional technical scheme, this second value region is connected with this first sub-value region.
Additionally, the present invention also proposes a kind of picture processing system, comprise display device, picture capture device and control dress
Put.Display device in order to show by the way of being driven by subregion raw frames to form current picture, this current picture correspondence is divided
Zone position has the first sharp edges, without this first sharp edges in this raw frames；Picture capture device deserves for capturing
Front picture is to obtain the first acquisition picture, and it is neighbouring that this first acquisition picture comprises fuzzy region, the first adjacent domain and second
Region, this fuzzy region to should the first sharp edges, this fuzzy region comprises the first fuzzy region and the second mould being connected
Stick with paste region, this first adjacent domain, this first fuzzy region, this second fuzzy region and this second adjacent domain sequentially phase
Adjacent；Control device and be coupled to this display device and this picture capture device, this control device for by this first neighbouring by this
In one adjacent domain this first capture picture be replicated in this first fuzzy region, by this second adjacent domain this first
Capturing picture to be replicated in this second fuzzy region, to form the second acquisition picture, this second acquisition picture comprises multiple pixel,
Obtain the actual gray value of the plurality of pixel, calculate the gray scale compensation value of corresponding the plurality of pixel, by this reality of each pixel
Border grey decision-making merges with this corresponding gray scale compensation value to carry out gray scale compensation.
The picture processing method of the present invention and picture processing system, it is after picture capture device captures picture, by making
The content in the fuzzy region causing mistake because of out of focus is replaced, in order to follow-up compensation is moved by the content of neighbouring fuzzy region
Work can correct actual gray value based on pixel each in picture be carried out.And when carrying out gray scale compensation, color range is consulted in table
In corresponding current picture, the position of sharp edges is not extended, and extends other blocks respectively, then with each pixel
Actual gray value merge；Or first color range is consulted table be extended obtaining new color range and consult table, newly
Color range consult in table the value region of corresponding sharp edges and carry out replicating by the content of adjacent domain and replace, the most again with respectively
The actual gray value of pixel merges, thus solves to show the problem that picture brightness is uneven.
Describe the present invention below in conjunction with the drawings and specific embodiments, but not as a limitation of the invention.
Accompanying drawing explanation
Figure 1A is the flow chart of the picture processing method of the present invention；
Figure 1B is the schematic diagram of the picture processing system of the present invention；
Fig. 2 A is the schematic diagram of raw frames in the present invention；
Fig. 2 B is the schematic diagram of current picture in the present invention；
Fig. 3 is the first schematic diagram capturing picture in the present invention；
Fig. 4 is the second schematic diagram capturing picture in the present invention.
Detailed description of the invention
The explanation of following embodiment is particular implementation that is graphic with reference to add, that implement in order to illustrate the present invention may be used to
Example.The direction term that the present invention is previously mentioned, such as " on ", D score, "front", "rear", "left", "right", " side " etc., be only reference
The direction of annexed drawings.Therefore, the direction term of use is to illustrate and understand the present invention, and is not used to limit the present invention.
In the examples below, in various figures, same section is to represent with identical label.
Refer to Figure 1A, Figure 1B, Fig. 2 A, Fig. 2 B, Fig. 3 and Fig. 4.Figure 1A is the flow process of the picture processing method of the present invention
Figure；Figure 1B is the schematic diagram of the picture processing system of the present invention；Fig. 2 A is the schematic diagram of raw frames in the present invention；Fig. 2 B is this
The schematic diagram of current picture in invention；Fig. 3 is the first schematic diagram capturing picture in the present invention；Fig. 4 is second to pick in the present invention
Take the schematic diagram of picture.
The picture processing system 1000 of the present invention comprises display device 100, picture capture device 200 and controls device
300, display device 100 and picture capture device 200 are by the way of wired connection or wireless connections and control device 300 coupling
Connect.Display device 100 is in order to show by the way of being driven by subregion that raw frames 101 is to form current picture 110, current picture
110 corresponding district locations have the first sharp edges 120, without the first sharp edges 120 in raw frames 101.Picture captures dress
Put 200 for capture current picture 110 with obtain first acquisition picture 210, first capture picture 210 comprise fuzzy region 220,
First adjacent domain 230 and the second adjacent domain 240, the first sharp edges in the corresponding current picture 110 of fuzzy region 220
120, fuzzy region 220 comprises the first fuzzy region 221 and the second fuzzy region 222 being connected, the first adjacent domain 230,
First fuzzy region the 221, second fuzzy region 222 and the second adjacent domain 230 are the most adjacent.Control device 300 to be coupled to
Display device 100 and picture capture device 200, control device 300 for by the first acquisition picture in the first adjacent domain 230
210 are replicated in the first fuzzy region 221, the first acquisition picture 210 in the second adjacent domain 240 is replicated in second and obscures
In region 222, to form the second acquisition picture 250, second captures picture 250 comprises multiple pixel (not illustrating), obtains multiple
The actual gray value of pixel, calculates the gray scale compensation value of corresponding above-mentioned multiple pixels, by the actual gray value of each pixel with
Corresponding gray scale compensation value merges to carry out gray scale compensation.
Additionally, the present invention also proposes a kind of picture processing method, comprise:
Step A (S100), is shown in raw frames 101 in display device 100 by the way of subregion drives, to be formed
Current picture 110, as shown in Figure 2 B, the corresponding district location of current picture 110 has the first sharp edges 120, as shown in Figure 2 A,
Without 120 first sharp edges in raw frames 101；
Step B (S200), picture capture device 200 capture current picture 110 with obtain first acquisition picture 210, first
Capturing picture 210 and comprise fuzzy region the 220, first adjacent domain 230 and the second adjacent domain 240, fuzzy region 220 is to should
The first sharp edges 120 in front picture 110, fuzzy region 220 comprises the first fuzzy region 221 and second being connected and obscures
Region 222, first adjacent domain the 230, first fuzzy region the 221, second fuzzy region 222 and the second adjacent domain 240 depend on
Sequence is adjacent；
Step C (S300), is replicated in the first fuzzy region 221 by the first acquisition picture 210 in the first adjacent domain 230
In, the first acquisition picture 210 in the second adjacent domain 240 is replicated in the second fuzzy region 222, to form the second acquisition
Picture 250；And
Step D (S400), second captures picture 250 comprises multiple pixel (not illustrating), obtains the reality of above-mentioned multiple pixel
Border grey decision-making, calculates the gray scale compensation value of corresponding above-mentioned multiple pixels, by the actual gray value of each pixel and corresponding ash
Rank offset merges to carry out gray scale compensation.
In the present embodiment, the resolution of raw frames 101 is 4K*2K.In practical operation, display device 100 shows
Time, in order to improve driving force, raw frames 101 can at least be divided into twoth district (for upper half and bottom half in the present embodiment) enter
Row drives display respectively, owing to driving voltage error, upper and lower circuit are asymmetric or the factor such as fabrication errors, at current picture
On 110, corresponding district location there will be the first sharp edges (sharp boundary) 120.
As shown in Figure 2 B, in current picture 110 split position of the first block A1 and the second block A2 to have first sharp
Sharp edge circle (sharp boundary) 120.Current picture 110 comprises the first the most adjacent limit, the 111, second limit the 112, the 3rd, limit
113 and the 4th limit 114, wherein the first limit 111 is relative with the 3rd limit 113, the second limit 112 and the 4th limit 114.Such as Fig. 2 B institute
Showing, current picture 110 is rectangular frame, and the first limit 111 and the 3rd limit 113 are two articles of minor faces that rectangular frame is relative, the second limit
112 is the relative two articles of long limits of rectangular frame with the 4th limit 114.As shown in Figure 2 B, the first sharp edges 120 is for being parallel to second
Limit 112 and the line segment isometric with the second limit 112, the i.e. first sharp edges 120 extends to the 3rd limit 113 from the first limit 111.
It practice, the first sharp edges 120 is undesirable line segment, it is also not belonging to raw frames 101.Such as Fig. 2 A
Shown in, raw frames 101 does not has this road first sharp edges 120.In other words, shown by subregion driving
Time, picture there occurs distortion, causes occurring in that the sharp edges that should not occur, therefore needs to move by follow-up gray scale compensation
Make so that picture may ultimately reach brightness uniformity.
As it is shown on figure 3, picture capture device 200 forms the first acquisition picture 210 after capturing current picture 110.This enforcement
In example, picture capture device 200 is camera.In order to avoid producing moire fringes, picture capture device 200 in capturing image process
Being the acquisition carrying out current picture 110 under situation out of focus, now the first sharp edges 120 in current picture 110 can be because of
Thicken for the capture out of focus of picture capture device 200, spread, thus define fuzzy on the first acquisition picture 210
Content in region 220, and fuzzy region 220 can not be with the first sharp edges 120 on current picture 110 and neighbouring
Content is corresponding.
As it is shown on figure 3, the first acquisition picture 210 comprises the 5th the most adjacent limit 213, limit the 212, the 7th, limit the 211, the 6th
And the 8th limit 214, respectively with the first the 111, second limit the 112, the 3rd, limit limit 113 and the 4th limit 114 in current picture 110
Corresponding.In the present embodiment, fuzzy region 220 comprises the first fuzzy region 221 and the second fuzzy region 222 being connected, and two
Person's area equation, and length (being equal to the length on the 6th limit 212) and width the most equal, the first fuzzy region 221 and the second mould
Stick with paste the first sharp edges 120 on the corresponding current picture 110 in demarcation line 223 in region 222.
Owing to the content in a width picture is the most coherent, especially when picture carries out in units of a pixel essence
After segmentation is cut, the content of neighbor can be considered almost identical in beholder's eye.With the resolution of current picture 110 it is
As a example by 3840*2160, the width of fuzzy region 220 is the width of 8 pixels, the i.e. first fuzzy region 221 and the second confusion region
The width in territory 222 is the width of 4 pixels.Such width is difficulty or ease identification for human eye, therefore the present invention is by inciting somebody to action
The document copying of neighbouring fuzzy region 220 is in fuzzy region 220, thus revises the content in fuzzy region 220.
As it is shown on figure 3, the first acquisition picture 210 also comprises the first adjacent domain 230 and the second adjacent domain 240.First
Adjacent domain the 230, first fuzzy region the 221, second fuzzy region 222 and the second adjacent domain 240 are sequentially disposed adjacent.First
Adjacent domain 230 and the area equation of the first fuzzy region 221, and both length and widths are the most equal.Second proximity
Territory 240 and the area equation of the second fuzzy region 222, and both length and widths are the most equal.That is, in the present embodiment,
First fuzzy region the 221, second fuzzy region the 222, first adjacent domain 230 and the area of the second adjacent domain 240 4
Equal, and length and width is the most equal.
Consequently, it is possible to the content that first captures on picture 210 in first adjacent domain 230 can be copied to the first confusion region
To replace content original in the first fuzzy region 221 in territory 221, capture the second adjacent domain on picture 210 by first simultaneously
Content in 230 copies in the second fuzzy region 222 to replace content original in the second fuzzy region 222 so that second
Capture the region of the first adjacent domain 230 in corresponding first acquisition picture 210 in picture 400 and corresponding first acquisition picture 210
In the content in region of the first fuzzy region 221 is identical (is all labeled as 230 in Fig. 4, represents that both contents are identical, be first
Capture the content in the first adjacent domain 230 in picture 210), second captures corresponding second adjacent domain 240 in picture 400
Region identical with the content in the region of corresponding second fuzzy region 222 (Fig. 4 is all labeled as 240, represents that both contents are identical,
It is the content in the second adjacent domain 240 in the first acquisition picture 210), thus revise in fuzzy region 220 and take due to out of focus
As the wrong content caused, to guarantee that follow-up compensatory movement can reach preferable effect.
As it is shown on figure 3, in the present embodiment, the first adjacent domain 230 is connected with the first fuzzy region 221, and second is neighbouring
Region 240 is connected with the second fuzzy region 222, and the first adjacent domain 230 does not overlaps with the first fuzzy region 221,
Second adjacent domain 240 does not overlaps with the second fuzzy region 222.In practical operation, the first adjacent domain 230 can be neighbouring
First fuzzy region 221 but be not connected with, the second adjacent domain 240 also can adjacent only to the first fuzzy region 222 but be not connected with.
In the present embodiment, when calculating the gray scale compensation value corresponding to each pixel, available contrast sensitivity function
(contrast sensitivity function, CSF) calculates in detail, and can be formed corresponding after calculating in detail
Original color range consults table (tone scale LUT).In the present embodiment, the resolution of current picture 110 is 3840*2160, second
Capture picture 400 and can be considered the duplicate plate of current picture 110, therefore acquire second captures multiple pixels in picture 400
Actual gray value can be used as the actual gray value of each pixel in current picture 110.If original color range is consulted table and is drawn with current
The resolution in face 110 matches, then directly capture the actual gray value of each pixel in picture 400 by second and consult with original color range
Table merges, so that each pixel is carried out gray scale compensation；Do not mate, then with the resolution of current picture 110 if original color range consults table
First original color range being consulted table to be extended, the color range after extension consults numerical quantities and the solution of current picture 110 that table is comprised
Analysis degree matches, then captures the actual gray value of each pixel in picture 400 by second and consult table with the first color range and merge, with to respectively
Pixel carries out gray scale compensation, thus reaches to improve the purpose of brightness irregularities.
In general, based on cost viewpoint, original color range consults table all can make simplification action, and the storage needed for reducing is empty
Between, thus cause original color range to consult table and do not mate, such as with the resolution of current picture 110: the resolution of current picture 110
For 3840*2160, original color range consults the length and width of table may the most only store the space of 1/8, it may be assumed that 480*270.So, when
Need to consult the actual gray value of each pixel and original color range table when merging, owing to original color range consults storage values in table
Quantity do not mate with the quantity of actual gray value, therefore need original color range is first consulted table to expand to and current picture 110
The color range that resolution matches consults table.Extending original color range to consult the mode of table and have a variety of, the most frequently used mode is interpolation
Intermediate value (or claiming interpolation).
It should be noted that owing to, in the present invention, current picture 110 existing the first sharp edges 120, therefore in the present invention
Utilizing color range to consult table, to carry out the method for gray scale compensation different from common method, as follows, it is provided that two kinds of color ranges consult table and each picture
The method that the actual gray value of element merges.
Method one:
When original color range is consulted table (tone scale LUT) extension by needs, can first determine in current picture 110 the
One sharp edges 120 consults the position in table corresponding to original color range, is designated as primary importance, with primary importance as boundary, by original
Color range is consulted table and is divided into Part I and Part II, original color range is consulted the numerical value of Part I in table and utilizes in the middle of interpolation
The mode of value is extended, with each pixel in the first block A1 in corresponding current picture 110, same, original color range is looked into
Readding the numerical value of Part II in table utilizes the mode of interpolation intermediate value to be extended, with the second block in corresponding current picture 110
Each pixel in A2.It should be noted that original color range is consulted the numerical value of primary importance in table and is not extended, the most original color range
Consult the numerical value of the position of corresponding first sharp edges 120 in table not to be extended, thus form the first color range and consult table.
Due to each pixel in the second position capturing each pixel in picture 400 and actual gray value and current picture 110
Position and actual gray value are corresponding, therefore the first color range are consulted table and second and captures the actual gray of each pixel in picture 400
Value merges, and can compensate the grey decision-making of each pixel in current picture 110, thus solve asking of brightness disproportionation
Topic.
In this method, the numerical value consulted in table at corresponding first sharp edges 120 due to original color range is not extended, therefore
It will not extend because of the interpolation of a laminar and cause compensation effect herein the best.
Method two:
When color range is consulted table (tone scale LUT) extension by needs, first determine that the first sharp edges 120 corresponds to
Original color range consults the position in table, is designated as primary importance；Original color range is consulted whole numerical value in table and passes through interpolation intermediate value
Mode be extended obtaining the second color range and consult table.Second color range is consulted corresponding original color range in table and consults in table first
The value region of position is defined as the first value region, and the first value region is divided into the first sub-value region and second symmetrically
Sub-value region.Second color range is consulted and is also comprised second value region and third value region in table, and the first sub-value region is adjacent
Nearly second value region, the second subnumber value region adjacent third value region, in the present embodiment, second value region, the first son
Value region, the second sub-value region and third value region are sequentially connected and connect but the most overlapping.By in second value region
It is interior to replace the content of the first sub-value region that numerical value copies to the first sub-value region, and the numerical value in third value region is multiple
Make to replace the content of the second sub-value region in the second sub-value region, consult table forming tertiary color rank.
Tertiary color rank are consulted the actual gray value of each pixel in table and the second acquisition picture 400 merge, with to working as
In front picture 110, the grey decision-making of each pixel compensates, thus the problem solving current picture 110 brightness disproportionation.Due to original
GTG consults the expanded rear content replicated in adjacent domain of the numerical value of the primary importance of the first sharp edges 120 correspondence in table,
Therefore it will not extend because of the interpolation of a laminar and cause compensation effect herein the best.
By actual experiment it is known that carry out gray scale compensation after, the first sharp edges 120 in current picture 110
JND value can by originally more than 4.0, greatly improve to no more than 2.3, even human eye cannot identification, thus reached preferable
Compensation effect.
In practical operation, can capture second after the actual gray value of each pixel merges with gray scale compensation value in picture and obtain
Correction grey decision-making typing chip in, or by the algorithm typing chip of gray scale compensation, when display device 100 is driven by subregion
When dynamic mode shows raw frames 101, then read above-mentioned correction grey decision-making or run the algorithm of above-mentioned gray scale compensation so that
Raw frames 101 can preferably be shown by final display device 100.
As shown in Figure 2 A, in the present embodiment, the first sharp edges 120 is the by-level line of current picture 110, then first
Block A1 is upper block, and the second block A2 is lower block.In practical operation, the first sharp edges 120 can be located at current picture 110
Optional position, such as in other horizontal line directions, vertical line direction, oblique line directions etc., depending on actual multi-section display point
Boundary line is fixed.No matter the first sharp edges 120 is positioned at the particular location of current picture 110, same method all can be used to obtain
Obtain the color range after revised acquisition picture and extension and consult table.
The picture processing method of the present invention and picture processing system, it is after picture capture device captures picture, by making
The content in the fuzzy region causing mistake because of out of focus is replaced, in order to follow-up compensation is moved by the content of neighbouring fuzzy region
Work can correct actual gray value based on pixel each in picture be carried out.And when carrying out gray scale compensation, color range is consulted in table
In corresponding current picture, the position of sharp edges is not extended, and extends other blocks respectively, then with each pixel
Actual gray value merge；Or first color range is consulted table be extended obtaining new color range and consult table, newly
Color range consult in table the value region of corresponding sharp edges and carry out replicating by the content of adjacent domain and replace, the most again with respectively
The actual gray value of pixel merges, thus solves to show the problem that picture brightness is uneven.
By the above detailed description of preferred embodiments, it is intended to more clearly describe inventive feature and spirit,
And not with above-mentioned disclosed preferred embodiment, protection scope of the present invention is any limitation as.On the contrary, its purpose
It is intended to contain being arranged in the scope of the claims that the present invention to be applied for of various change and tool equality.Cause
This, the apllied scope of the claims of the present invention should make the broadest explanation, to cause it according to above-mentioned explanation
Contain all possible change and the arrangement of tool equality.
Claims (10)
1. a picture processing method, it is characterised in that comprise:
Step A, is shown in raw frames in display device by the way of subregion drives, and to form current picture, this is current
Picture correspondence district location has the first sharp edges, without this first sharp edges in this raw frames；
Step B, picture capture device captures this current picture and captures picture to obtain first, and this first acquisition picture comprises fuzzy
Region, the first adjacent domain and the second adjacent domain, this fuzzy region to should the first sharp edges, this fuzzy region comprises phase
The first fuzzy region connected and the second fuzzy region, this first adjacent domain, this first fuzzy region, this second fuzzy region
And this second adjacent domain is the most adjacent；
Step C, is replicated in this first acquisition picture in this first adjacent domain in this first fuzzy region, by this second neighbour
This first acquisition picture near field is replicated in this second fuzzy region, to form the second acquisition picture；And
Step D, this second captures picture and comprises multiple pixel, obtains the actual gray value of the plurality of pixel, calculates should
The gray scale compensation value of multiple pixels, merges this actual gray value of each pixel to carry out ash with this corresponding gray scale compensation value
Rank compensate.
Picture processing method the most according to claim 1, it is characterised in that: this first adjacent domain and this first confusion region
Territory is connected.
Picture processing method the most according to claim 1, it is characterised in that: the area of this first adjacent domain equal to this
The area of one fuzzy region.
Picture processing method the most according to claim 1, it is characterised in that: step D also includes according to contrast sensitivity letter
Number calculates the gray scale compensation value of corresponding the plurality of pixel.
Picture processing method the most according to claim 4, it is characterised in that: it is the plurality of that step D also includes calculating correspondence
After the gray scale compensation value of pixel, form original color range and consult table, this original color range is consulted after table is extended and currently draw with this
Face merges to carry out gray scale compensation.
Picture processing method the most according to claim 5, it is characterised in that: define this original color range and consult in table should
The position of the first sharp edges is primary importance, this original color range is consulted table be divided into this primary importance for boundary Part I and
Part II, extends respectively by this Part I and this Part II, and this primary importance is not extended, to form first
Color range consults table, and step D also includes that this first color range is consulted table to be merged to carry out gray scale compensation with this current picture.
Picture processing method the most according to claim 5, it is characterised in that: define this original color range and consult in table should
The position of the first sharp edges is primary importance, this original color range is consulted table and is extended, and consults table forming the second color range,
This second color range is consulted table and is had the first value region, second value region and third value region, this first value region
To original color range consulting this primary importance in table, this first value region have the sub-value region of symmetrical first and
Second sub-value region, this second value region, this first sub-value region, this second sub-value region and this third value
Region is the most adjacent, and step D also includes copying to the content in this second value region this first sub-value region, and this is by
Content in three value region copies to this second sub-value region, consults table forming tertiary color rank, is looked on these tertiary color rank
Read table to merge to carry out gray scale compensation with this current picture.
Picture processing method the most according to claim 7, it is characterised in that: this second value region and this first subnumber value
The area equation in region.
Picture processing method the most according to claim 7, it is characterised in that: this second value region and this first subnumber value
Region is connected.
10. a picture processing system, it is characterised in that comprise:
Display device, in order to show by the way of being driven by subregion raw frames to form current picture, this current picture is corresponding
District location has the first sharp edges, without this first sharp edges in this raw frames；
Picture capture device, is used for capturing this current picture and captures picture to obtain first, and this first acquisition picture comprises fuzzy
Region, the first adjacent domain and the second adjacent domain, this fuzzy region to should the first sharp edges, this fuzzy region comprises
The first fuzzy region being connected and the second fuzzy region, this first adjacent domain, this first fuzzy region, this second confusion region
Territory and this second adjacent domain are the most adjacent；And
Control device, be coupled to this display device and this picture capture device, this control device for by this first neighbouring should
This in first adjacent domain first captures picture and is replicated in this first fuzzy region, by this in this second adjacent domain the
One captures picture is replicated in this second fuzzy region, and to form the second acquisition picture, this second acquisition picture comprises multiple picture
Element, obtains the actual gray value of the plurality of pixel, calculates the gray scale compensation value of corresponding the plurality of pixel, being somebody's turn to do each pixel
Actual gray value merges with this corresponding gray scale compensation value to carry out gray scale compensation.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113935891A (en) * | 2021-09-09 | 2022-01-14 | 完美世界(北京)软件科技发展有限公司 | Pixel-style scene rendering method, device and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113935891A (en) * | 2021-09-09 | 2022-01-14 | 完美世界(北京)软件科技发展有限公司 | Pixel-style scene rendering method, device and storage medium |
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Application publication date: 20170111 |