CN101815190A - Projection display system and characteristic analysis method thereof - Google Patents
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Abstract
The invention discloses a projection display system and a characteristic analysis method thereof. On the basis of a traditional projector camera system, a white spot calibration element part is added on the projection display system, so white spots in a display environment can be accurately obtained on line in real time and the flexibility of the system is improved. The characteristic analysis method has the advantages that each step can be automatically implemented on line, the method is adaptive to the projection display system with three or more channels, a multicolor management scheme is provided for projection display on surfaces with textures or patterns and under a luminous environment, and the broadening of the projection display system in high-level application fields is facilitated.
Description
Technical field
The present invention relates to a kind of system constructing and characteristic analysis method thereof that shows the field, especially system constructing and the characteristic analysis method thereof when carrying out Projection Display on the surface that has texture or pattern common in the daily life and under the lighting environment.
Background technology
At present, the projecting apparatus on the market is cheap and possess characteristics such as multi-functional and portable, and range of application is expanded from high-end field such as education, business meetings gradually and entered people's daily life.For flexibility and the adaptability that improves projecting apparatus, the application of projecting apparatus and promote will no longer be subject to desirable environment of observation and high-quality pure white screen display and to carry out Projection Display on need be under normal lighting environment and in the work life common surface that has texture or pattern.At this moment, the Projection Display image limitation that not only is subjected to self imaging system also will be subjected to the influence of ambient lighting and surface emissivity characteristic.Specifically, when carrying out Projection Display under normal lighting environment, the Projection Display image is formed through the screen reflection fusion by projection output image and ambient lighting, compares with desirable dark situation, and its quality is deterioration obviously; Simultaneously, if when projecting apparatus is thrown image on non-pure white screen, the distortion of human eye perceptual image appearance will appear owing to the inhomogeneous or color interference of screen in the Projection Display image.Therefore, need carry out modeling analysis to the characteristic of this Projection Display to reproduce its true appearance, comprise the photometry or the colorimetry characteristic of projection display system, display surface and ambient lighting for effectively control and correcting orthographic projection image's quality.
Existing Projection Display characteristic analysis method mainly is divided into two classes, one class is to adopt the analytical method of measuring as the radiation-measurment equipment of high accuracy such as spectral radiant emittance meter or colorimeter, the precision height of such methods analyst, but can only obtain the characteristic of a locus at every turn, and for the Projection Display of large scale picture, its efficient is lower, and can not obtain the spatial distribution of display characteristic; Another kind of is the analytical method that adopts camera to measure, and promptly in advance camera is demarcated, and then camera is taken the Projection Display image, and the image that obtains is carried out specificity analysis.Can obtain the characteristic of the corresponding spatial point of Projection Display by analysis to each pixel of camera, the efficiency of measurement height of these class methods, but certainty of measurement depends on reference to white point with respect to the stated accuracy of white point.At above-mentioned novel Projection Display characteristic, existing technology adopts the combination of second class methods or two class methods to analyze usually, as document " Color nonuniformity in projection-baseddisplays:Analysis and solutions ", and with projecting apparatus, camera and computer processing system are formed the projecting apparatus camera system, make the analysis of this novel display characteristic can realize automation, as document " Making One Object Look Like Another-Controlling Appearance Using aProjector-Camera System ".Yet existing all is to be reference with fixing white point based on projecting apparatus camera system analytical method.Owing to the reference white point of novel Projection Display environment will be along with use occasion change and constantly variation, when reference white point when showing and the white point of presetting are inconsistent, analysis result will depart from the actual value of visual observation.Therefore, in order to make the analysis of Projection Display characteristic realize that real-time online improves the reliability of its analysis result when using, need set with reference to white point in real time according to the variation of use occasion.In addition, the passage coupling phenomenon is common in the above projection display system of triple channel, because existing analytical method is not all considered the interchannel complicated coupling characteristic of projection display system, so accommodation is subject to traditional projection display technique.
Summary of the invention
The objective of the invention is at the deficiencies in the prior art, a kind of projection display system and characteristic analysis method thereof are provided.
The objective of the invention is to be achieved through the following technical solutions: a kind of projection display system, it mainly is made up of display system, imaging system, little stores processor module, white point scale elements and five parts of I/O interface module.Wherein, described display system, imaging system link to each other with the I/O interface module respectively, and the I/O interface module connects little stores processor module.
A kind of characteristic analysis method of using above-mentioned projection display system, this method may further comprise the steps:
(1) (x is y) with imaging system respective pixel coordinate (u, v) the geometric maps relation between to set up the display system pixel coordinate.
(2) obtain the reference white point of display environment and the contrast response curve f of imaging system Color Channel
c
(3) by contrast response curve f
cInverse mapping analyze and obtain display surface the spatial modulation S of each pixel of projected image and the stack distribution E of ambient lighting.
(4) the contrast response curve f of acquisition projection display system Color Channel
p
(5) set up the mapping relations that are coupled between the projection display system Color Channel.
The invention has the beneficial effects as follows that projection display system of the present invention increases white point scale elements part on traditional projecting apparatus camera system formation base, help the white point that online in real time is accurately obtained display environment, thereby improved the flexibility of system.Characteristic analysis method of the present invention, each step can be implemented on-line automaticly, and be adapted to triple channel and above projection display system, for on the surface that has texture or pattern and the Projection Display of carrying out under the lighting environment multiple color management scheme is provided, help this projection display system and expand to the high-end applications field.
Description of drawings
Fig. 1 is a projection display system module construction scheme schematic diagram;
Data flow schematic diagram when Fig. 2 is projection display system work;
Fig. 3 is the ImgSurface schematic diagram;
Fig. 4 is the ImgCapGray255 schematic diagram;
Fig. 5 is the ImgColor1024 schematic diagram;
Fig. 6 is the ImgCapColor1024 schematic diagram;
Fig. 7 is the ImgCapColorl024Co schematic diagram;
Fig. 8 is an analytical method checking result schematic diagram.
Specific implementation method:
Describe the present invention in detail with embodiment with reference to the accompanying drawings below, it is more obvious that purpose of the present invention and effect will become.
In order to make the online accurate acquisition of the projection display system energy white point of display environment at that time, the invention provides the New Scheme that a kind of projection display system makes up, as shown in Figure 1, form by display system, imaging system, little stores processor module, white point scale elements and five parts of I/O interface module, use A, B, C, D and five letter representations of E respectively, display system is connected the I/O interface module respectively with imaging system, and the I/O interface module connects little stores processor module, the white point scale elements then be freedom and flexibility be installed in the system, can load and unload very easily.Display system is to be used for projecting image onto on the display surface, imaging system is to come from the emittance collection of display surface and to be converted into image, little stores processor module is that needs image that shows and the image that collects are stored or handle accordingly according to certain rule, the I/O interface module is to be used for the digital signal that little stores processor module transmits is transferred to display system after treatment, and the signal of accepting imaging system output is by in addition being transferred to little stores processor module after the preliminary treatment again, and the white point scale elements is to be used for online parts that obtain the viewing area with reference to white point.
The specific embodiments of system constructing is as follows:
It is the DLP projecting apparatus (its Color Channel number is 4) of VGA NEC LT 30+ that display system can adopt model, it is the camera (the Color Channel number is 3) of HITACHI HV-D30 that imaging system can adopt model, little stores processor module can adopt 2.2GHz dominant frequency and 1.0G internal memory computer, it is that video card and the model of RADEON R9200SE is the picture signal capture card of Matrox Meteor II/Multi-channel that the I/O interface module can adopt model, the white scale elements can adopt the card of a white, records it records card under MacbethSpectralLightIII light box Daylight illumination (a
*, b
*) color value is (4.377 ,-7.008).
When working on the common in daily life surface that has texture or pattern of projection display system and under the condition of surroundings illumination, the whole flow for displaying from the input picture to the output image can be decomposed into four main processes as shown in Figure 2.The digital value I of input picture
In=[r
In, g
In, b
In]
TContrast response mapping relationship f through each passage of display system
pBe converted into the digital actuation value
And the digital actuation value is through coupling between each passage of display system and to the mapping relationship f between the imaging system respective channel
mBe converted into the radiance value I of display system output
p=[r
p, g
p, b
p]
TThen, the radiance value is through the stack distribution E=[e of ambient lighting
r, e
g, e
b]
TSpatial modulation S=diag (S with display surface
r, S
g, S
b) reflection is converted to the brightness value I that imaging system receives
c=[r
c, g
c, b
c]
T, this process is by adopting mathematical formulae (2) to describe
I
c＝S(I
p+E) (2)
At last, the brightness value that receives of imaging system is through its contrast response mapping relationship f
cBe converted into the digital value of output image
The purpose of Projection Display specificity analysis is exactly in order to set up the various mapping relations of above procedure for displaying, the invention provides the method for five steps, the instruction that each step can be understood as the operational procedure of projection display system and needs micro treatment module to carry out in the middle of operational procedure comes command display system or imaging system to finish specific function.
The first step, (x is y) with imaging system respective pixel coordinate (u, v) the geometric maps relation between to set up the display system pixel coordinate.
Specific implementation method:
Adopt the geometric maps method in the patent documentation " projected picture correcting method and device ", simultaneously in order to weaken interchannel coupling in the display system more than the triple channel, adopt red, green, blue, black, white five kinds of colors and comprise the code pattern of 625 color lumps the influence of code identification.
In second step, obtain the reference white point of display environment and the contrast response curve f of imaging system Color Channel
c
Specific implementation method:
At first, the visual field of adjusting camera is to be included the Projection Display zone, the adjustment time for exposure is that Ts (as 0.04s) and camera aperture make the high-high brightness of Projection Display image within its dynamic range, and the time for exposure of this moment is made as the time for exposure under the mode of operation.The aperture of camera is closed, collect image, be designated as ImgCapDark, projection one width of cloth color value is (255 on display surface then, 255,255) solid white image utilizes camera to collect image, be designated as ImgCapGray255, find position the brightest among the ImgGray255, be designated as P; At "+" mark of P position corresponding display projection, white scale elements is placed on this position mark, and be (255 with color value, 255,255) solid white image projects to display surface once more, images acquired and by the position of P point location positioning element is got zone in the middle of it and is deducted mean value after the ImgDark respective regions color value as the reference white point, is designated as (r
Out w, g
Out w, b
Out w).White balance correction coefficient when then, calculating imaging system output is
At last, to demarcate element and move apart the viewing area, at display surface projection one width of cloth from the centre to both sides by the bright Projection Display image of arranging to dark nicking, be respectively 1s, 0.84s, 0.68s, 0.52s, 0.36s, 0.20s, 0.04s the one group of image that collects when 7 different exposure time and deduct ImgCapDark respectively after multiply by the white balance coefficient and proofread and correct, utilize approximating method in the document " Recovering High Dynamic Range Radiance Maps fromPhotographs " to obtain the contrast response curve and the inverse look-up table thereof of imaging system Color Channel.
The 3rd step is by contrast response curve f
cInverse mapping analyze and obtain display surface the spatial modulation S of each pixel of projected image and the stack distribution E of ambient lighting.
Specific implementation method:
The test surfaces that employing is made up of the color lump of 12 different colours, and whole system is operated under general office's fluorescent lamp normal lighting environment.At first, projection one width of cloth color value is (0,0,0) black image is to display surface, utilize camera to collect image, be designated as ImgCapGrayZero, deduct and multiply by the white balance coefficient behind the ImgCapDark and proofread and correct, can obtain the ambient lighting stack distribution E of (comprising that projecting apparatus is backlight) by the pixel value of each pixel and the inverse look-up table of imaging system contrast response curve; Then, ImgCapGray255 deducted multiply by the white balance coefficient behind the ImgCapDark and proofread and correct, obtain to come from the brightness value of display surface corresponding pixel points by the inverse look-up table of the pixel value of each pixel and imaging system contrast response curve
Deduct the overlapping portion of ambient lighting again and with the brightness value of P position
For can calculating, benchmark obtains each pixel (u, spatial modulation v) on the display surface
Its computing formula is
Wherein, e
i (u, v)(u v) locates i the channel components that the ambient lighting stack distributes for pixel.
The 4th step, the contrast response curve f of acquisition projection display system Color Channel
p
Specific implementation method:
At first by projecting apparatus with the color lump successive projection of GTG value P position, for example n to display surface
1=8, be respectively (0,0,0), (32,32,32), (64,64,64), (96,96,96), (128,128,128), (160,160,160), (192,192,192), (224,224,224), (255,255,255), and collect the image of each color lump by camera; Then, (u, color value v) carry out white balance correction after deducting the color value of ImgCapDark respective pixel, and are obtained the brightness value I of each pixel correspondence by the inverse look-up table of imaging system contrast response curve with its each pixel
c, deduct the overlapping portion of ambient lighting again and remove spatial modulation, promptly
Wherein, i
c' be the brightness value after proofreading and correct.At last, get color lump middle section i
c' mean value can obtain each passage contrast response curve of display system n
1Individual sample point value, the method by cubic spline interpolation can obtain complete smooth curve.
In the 5th step, set up the mapping relations that are coupled between the projection display system Color Channel.
Specific implementation method:
At first, (total number of colours is n for projection one width of cloth or several color lumps figure
2), obtain n
2Group g and I
pValue.For example, the length of getting the g vector is 7, adopts the extended mode of mask model in the document " Masking model for accurate colorimetriccharacterization of LCD ".Designing a width of cloth has the image of 1024 color lumps, chooses 512 color values in device color spaces, arranges once with left-to-right from top to bottom respectively, is designated as ImgColor1024; This image projection to display surface, is collected the color lump image by camera, be designated as ImgCapColor1024; Deduct with the method that is similar to step 3 and step 4 and carry out white balance correction behind the color value of ImgCapDark and calculate brightness value and remove spatial modulation, the distribution map of acquisition is designated as ImgCapColor1024Co; Get the I of the average of color lump middle section as each color lump
pValue and twice are averaged, and the channel response curve by 512 color values choosing and display system can calculate 512 g values simultaneously, and finally obtains 512 groups of g and I
pValue;
Then, be the projection display system of m for port number, adopt mathematical formulae (1) to describe the coupling mapping relations
I
p＝M·g (1)
Wherein,
n
0〉=m is by I
TrExpand the vector that obtains, M is 3 * n
0Coupling matrix.By n
2Group g and I
pValue and adopt the minimal error estimation approach to try to achieve coupling matrix M, for example, the method for least square fitting.
For adaptability and the precision of verifying this analytical method, be separately positioned on the projection display system that makes up under " sRGB " (triple channel) and " demonstration " (four-way) pattern respectively and carry out specificity analysis.Utilize the result who analyzes, can predict the output image of test pattern (being designated as ImgTest) on test surfaces, be designated as ImgTestPre; Simultaneously, can utilize camera directly to collect output image, be designated as ImgTestCap by projected image; Image I mgTestPre and ImgTestCap are compared, obtain the pseudocolour picture of absolute error, be designated as ImgDiff, bright region representation error is big, otherwise then little, as shown in Figure 8, and calculate the mean error and the root-mean-square error of R, G, three Color Channels of B respectively, result such as following table, the mean error of this analytical method under different mode all is stabilized in below 10, and the bigger zone of error mainly is distributed in the detail section of image.
Claims (6)
1. a projection display system is characterized in that, it mainly is made up of display system, imaging system, little stores processor module, white point scale elements and five parts of I/O interface module.Wherein, described display system, imaging system link to each other with the I/O interface module respectively, and the I/O interface module connects little stores processor module.
2. an application rights requires the characteristic analysis method of 1 described projection display system, it is characterized in that this method may further comprise the steps:
(1) (x is y) with imaging system respective pixel coordinate (u, v) the geometric maps relation between to set up the display system pixel coordinate.
(2) obtain the reference white point of display environment and the contrast response curve f of imaging system Color Channel
c
(3) by contrast response curve f
cInverse mapping analyze and obtain display surface the spatial modulation S of each pixel of projected image and the stack distribution E of ambient lighting.
(4) the contrast response curve f of acquisition projection display system Color Channel
p
(5) set up the mapping relations that are coupled between the projection display system Color Channel.
3. according to the described characteristic analysis method of claim 2, it is characterized in that, described step (2) is specially: the visual field of at first adjusting camera is to be included the Projection Display zone, adjust time for exposure Ts and camera aperture and make the high-high brightness of Projection Display image within its dynamic range, the time for exposure of this moment is made as the time for exposure under the mode of operation.The aperture of camera is closed, collect image, be designated as ImgCapDark, projection one width of cloth color value is (255 on display surface then, 255,255) solid white image utilizes camera to collect image, be designated as ImgCapGray255, find position the brightest among the ImgGray255, be designated as P; At "+" mark of P position corresponding display projection, white scale elements is placed on this position mark, and be (255 with color value, 255,255) solid white image projects to display surface once more, images acquired and by the position of P point location positioning element is got zone in the middle of it and is deducted mean value after the ImgDark respective regions color value as the reference white point, is designated as (r
Out w, g
Out w, b
Out w).White balance correction coefficient when then, calculating imaging system output is
At last, to demarcate element and move apart the viewing area, at display surface projection one width of cloth from the centre to both sides by the bright Projection Display image of arranging to dark nicking, be respectively 1s, 0.84s, 0.68s, 0.52s, 0.36s, 0.20s, 0.04s the one group of image that collects when 7 different exposure time and deduct ImgCapDark respectively after multiply by the white balance coefficient and proofread and correct, match obtains the contrast response curve and the inverse look-up table thereof of imaging system Color Channel.
4. according to the described characteristic analysis method of claim 2, it is characterized in that described step (3) is specially: adopt the test surfaces of forming by the color lump of 12 different colours, and whole system is operated under general office's fluorescent lamp normal lighting environment.At first, projection one width of cloth color value is (0,0,0) black image is to display surface, utilize camera to collect image, be designated as ImgCapGrayZero, deduct and multiply by the white balance coefficient behind the ImgCapDark and proofread and correct, can obtain the stack distribution E of ambient lighting by the inverse look-up table of the pixel value of each pixel and imaging system contrast response curve; Then, ImgCapGray255 deducted multiply by the white balance coefficient behind the ImgCapDark and proofread and correct, obtain to come from the brightness value of display surface corresponding pixel points by the inverse look-up table of the pixel value of each pixel and imaging system contrast response curve
Deduct the overlapping portion of ambient lighting again and with the brightness value of P position
For can calculating, benchmark obtains each pixel (u, spatial modulation v) on the display surface
Its computing formula is
Wherein, e
i (u, v)(u v) locates i the channel components that the ambient lighting stack distributes for pixel.
5. according to the described characteristic analysis method of claim 2, it is characterized in that described step (4) is specially: at first by projecting apparatus with the color lump successive projection of GTG value P position to display surface, and collect the image of each color lump by camera; Then, (u, color value v) carry out white balance correction after deducting the color value of ImgCapDark respective pixel, and are obtained the brightness value I of each pixel correspondence by the inverse look-up table of imaging system contrast response curve with its each pixel
c, deduct the overlapping portion of ambient lighting again and remove spatial modulation, promptly
Wherein, i
c' be the brightness value after proofreading and correct.At last, get color lump middle section i
c' mean value can obtain each passage contrast response curve of display system n
1Individual sample point value, the method by cubic spline interpolation can obtain complete smooth curve, n
1Be natural number.
6. according to the described characteristic analysis method of claim 2, it is characterized in that described step (5) is specially: at first, projection one width of cloth or several color lumps figure, total number of colours is n
2, obtain n
2Group g and I
pValue.Designing a width of cloth has the image of 1024 color lumps, chooses 512 color values in device color spaces, arranges once with left-to-right from top to bottom respectively, is designated as ImgColor1024; This image projection to display surface, is collected the color lump image by camera, be designated as ImgCapColor1024; Deduct and carry out white balance correction behind the color value of ImgCapDark and calculate brightness value and remove spatial modulation, the distribution map of acquisition is designated as ImgCapColor1024Co; Get the I of the average of color lump middle section as each color lump
pValue and twice are averaged, and the channel response curve by 512 color values choosing and display system can calculate 512 g values simultaneously, and finally obtains 512 groups of g and I
pValue; Then, be the projection display system of m for port number, adopt following formula to describe the coupling mapping relations:
I
p＝M·g；
Wherein,
n
0〉=m is by I
TrExpand the vector that obtains, M is 3 * n
0Coupling matrix.By n
2Group g and I
pValue and adopt the minimal error estimation approach to try to achieve coupling matrix M.
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| CN102109972A (en) * | 2011-02-14 | 2011-06-29 | 深圳雅图数字视频技术有限公司 | Projector television wall display method and system |
| CN105208361A (en) * | 2014-06-26 | 2015-12-30 | 松下知识产权经营株式会社 | Light projection apparatus and illumination apparatus using same |
| CN105577982A (en) * | 2015-12-31 | 2016-05-11 | 深圳市金立通信设备有限公司 | Image processing method and terminal |
| CN111638042A (en) * | 2020-05-29 | 2020-09-08 | 深圳飞嵌科技有限公司 | DLP optical characteristic test analysis method |
| CN115086625A (en) * | 2022-05-12 | 2022-09-20 | 峰米(重庆)创新科技有限公司 | Correction method, device and system of projection picture, correction equipment and projection equipment |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102109972A (en) * | 2011-02-14 | 2011-06-29 | 深圳雅图数字视频技术有限公司 | Projector television wall display method and system |
| CN102109972B (en) * | 2011-02-14 | 2012-09-12 | 深圳雅图数字视频技术有限公司 | Projector television wall display method and system |
| CN105208361A (en) * | 2014-06-26 | 2015-12-30 | 松下知识产权经营株式会社 | Light projection apparatus and illumination apparatus using same |
| CN105577982A (en) * | 2015-12-31 | 2016-05-11 | 深圳市金立通信设备有限公司 | Image processing method and terminal |
| CN111638042A (en) * | 2020-05-29 | 2020-09-08 | 深圳飞嵌科技有限公司 | DLP optical characteristic test analysis method |
| CN111638042B (en) * | 2020-05-29 | 2022-04-01 | 深圳飞嵌科技有限公司 | DLP optical characteristic test analysis method |
| CN115086625A (en) * | 2022-05-12 | 2022-09-20 | 峰米(重庆)创新科技有限公司 | Correction method, device and system of projection picture, correction equipment and projection equipment |
| CN115086625B (en) * | 2022-05-12 | 2024-03-15 | 峰米(重庆)创新科技有限公司 | Correction method, device and system for projection picture, correction equipment and projection equipment |
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| Publication number | Publication date |
|---|---|
| CN101815190B (en) | 2011-12-28 |
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