CN103220535A - Non-feathered mapping curve model - Google Patents
Non-feathered mapping curve model Download PDFInfo
- Publication number
- CN103220535A CN103220535A CN 201310185276 CN201310185276A CN103220535A CN 103220535 A CN103220535 A CN 103220535A CN 201310185276 CN201310185276 CN 201310185276 CN 201310185276 A CN201310185276 A CN 201310185276A CN 103220535 A CN103220535 A CN 103220535A
- Authority
- CN
- China
- Prior art keywords
- color
- emergence
- curve model
- mapping curve
- mapping
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013507 mapping Methods 0.000 title claims abstract description 25
- 238000012937 correction Methods 0.000 claims abstract description 7
- 238000012545 processing Methods 0.000 claims description 4
- 230000001915 proofreading effect Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 abstract description 3
- 238000013461 design Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Landscapes
- Processing Of Color Television Signals (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a non-feathered mapping curve model, relates to the field of computer graphics, and in particular relates to a model for making a nonlinear mapping relation by a feathering parameter and a splicing distance. The color value precision and the brightness adjustment of a projector are realized, and the vision effect of image displaying is enhanced. Pixel numbers are precise because components of red, green and blue (RGB) color signals are filtered, selected and separated; color values are automatically calculated according to signals acquired by a camera; and therefore, gamma curve correction is executed. Compared with the prior art, the non-feathered mapping curve model has the characteristics of unique concept, novel technology, precise pixel, precision color and simple method.
Description
Technical field
The present invention relates to field of Computer Graphics, in particular, is a kind of non-emergence mapping curve model.
Background technology
The input-output curve of projector is non-linear.Now a lot of manufacturers adopt artificial trial and error mode to determine that the edge merges a general emergence mapping, and it is should emergence mapping curve shape single, only adjust the curve width by adjusting inner parameter, the shape that does not have material change's curve, thereby real sprout wings value under each deformation state of the adjustment of meaning.And based on the emergence parameter that this principle generates, only can adjust the project of transverse horizontal splicing, for the correction of various irregular images such as special curved surface such as sphere, powerless.
Because the no regularity of deformation surface, then the color of different projectors, brightness adjustment are very difficult.Therefore the emergence coefficient calculations that merges band must be considered this nonlinear change rule of surf deform, through after this Nonlinear Mapping, produces bigger deviation with the brightness and the color-values of anticipation with the pixel value after avoiding sprouting wings.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of non-emergence mapping curve model, the color of solution projector, brightness adjustment problem, the visual effect that the raising image shows.
To achieve these goals, the technical solution adopted in the present invention is:
A kind of non-emergence mapping curve model of the present invention, the emergence parameter forms nonlinear mapping relations with the splicing distance, pattern edge in selected scope, according to image splicing effect needs, the method to set up of the unique innovation of employing, the parameter that is about to sprout wings becomes the Nonlinear Mapping relation with the splicing distance setting, by mapping relations calculating accurately, get the most rational pixel value, reach image and show required design sketch.
A kind of non-emergence mapping curve model of the present invention adopts the RGB coding method, and every kind of color all can be used to be expressed as redness, green and blue intensity.Record and during color display to the processing that each component of RGB color signal filters, screens and separates, makes the color value of the more accurate match reality of color-values of each pixel, reaches the purpose of accurate correction.
A kind of non-emergence mapping curve model of the present invention, support is based on the auto color gamma curvature correction of camera, signal by camera collection calculates color-values automatically, has significantly reduced the interference of artificial subjective factor, has reached the precision target of proofreading and correct.
Compared with prior art, a kind of non-emergence mapping curve model of the present invention has thinking uniqueness, technology novelty, pixel is accurate, color is accurate, method is succinct characteristics.
Description of drawings
Fig. 1 is a modular structure exemplary plot of the present invention.
Embodiment
Below with reference to shown in the drawings and specific embodiments technical scheme of the present invention is described in further detail.
As shown in Figure 1, a kind of non-emergence mapping curve model comprises and sets emergence parameter and the Nonlinear Mapping relation of splicing distance, comes to determine accurately the pixel value of image, reaches desirable pixel effects.
A kind of non-emergence mapping curve model comprises the processing to the RGB color signal, adopt the RGB coding method, to the processing that each component of RGB color signal filters, screens and separates, make the color value of the more accurate match reality of color-values of each pixel, easy and precisely errorless.
A kind of non-emergence mapping curve model, for auto color gamma curve, the signal by camera collection carries out curvature correction and calculates automatically, has significantly reduced the interference of artificial subjective factor, has reached the precision target of proofreading and correct.
The present invention also can have other various embodiments; under the situation that does not deviate from spirit of the present invention and essence; those of ordinary skill in the art work as can make various corresponding changes and distortion according to the present invention, but these corresponding changes and distortion all should belong to the protection range of the appended claim of the present invention.
Claims (3)
1. the invention discloses a kind of non-emergence mapping curve model, make emergence parameter and splicing distance form nonlinear mapping relations, obtain careful more pixel count accurately.
2. a kind of non-emergence mapping curve model according to claim 1, it is characterized in that, to the processing that each component of RGB color signal filters, screens and separates, make the color value of the more accurate match reality of color-values of each pixel, reach the purpose of accurate correction.
3. a kind of non-emergence mapping curve model according to claim 2, it is characterized in that, support is based on the auto color gamma curvature correction of camera, signal by camera collection calculates color-values automatically, significantly reduce the interference of artificial subjective factor, reached the precision target of proofreading and correct.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201310185276 CN103220535A (en) | 2013-05-17 | 2013-05-17 | Non-feathered mapping curve model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201310185276 CN103220535A (en) | 2013-05-17 | 2013-05-17 | Non-feathered mapping curve model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103220535A true CN103220535A (en) | 2013-07-24 |
Family
ID=48817937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201310185276 Pending CN103220535A (en) | 2013-05-17 | 2013-05-17 | Non-feathered mapping curve model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103220535A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107231548A (en) * | 2016-03-25 | 2017-10-03 | 日立乐金光科技株式会社 | Laser projection display device |
| CN113706637A (en) * | 2021-08-03 | 2021-11-26 | 哈尔滨工程大学 | Color aliasing separation method in linear region of color image sensor |
-
2013
- 2013-05-17 CN CN 201310185276 patent/CN103220535A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107231548A (en) * | 2016-03-25 | 2017-10-03 | 日立乐金光科技株式会社 | Laser projection display device |
| CN107231548B (en) * | 2016-03-25 | 2019-03-08 | 日立乐金光科技株式会社 | Laser projection display device |
| CN113706637A (en) * | 2021-08-03 | 2021-11-26 | 哈尔滨工程大学 | Color aliasing separation method in linear region of color image sensor |
| CN113706637B (en) * | 2021-08-03 | 2023-10-13 | 哈尔滨工程大学 | A color aliasing separation method in the linear region of a color image sensor |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| TWI520126B (en) | Image correction data generation system, image correction data generation method, image correction data generation program, and image correction circuit | |
| CN104882098B (en) | Method for correcting image and imaging sensor based on LED mosaic display screens | |
| CN103106884B (en) | A kind of method and system improving the visual angle colour of skin colour cast of liquid crystal display | |
| CN108492772B (en) | A kind of Gamma adjusting method and Gamma regulating system | |
| US9965989B2 (en) | Method and apparatus for controlling low grayscale white balance | |
| CN104867471B (en) | A kind of RGB turns the method, apparatus and RGBW display equipment of RGBW | |
| CN112289209B (en) | LED display box body and display screen abutted pixel interval brightness correction method | |
| CN107507558A (en) | A kind of bearing calibration of LED display | |
| CN101339736A (en) | Method for on-line brightness correction and color gamut optimization of full-color LED display screen | |
| CN102568429B (en) | Method and device for simulating squint angle image | |
| JP6377011B2 (en) | Luminance measuring method, luminance measuring apparatus, and image quality adjustment technology using them | |
| CN105096832B (en) | A kind of LED display splices the adjusting method and system of bright concealed wire | |
| CN106409251A (en) | Calculation method and system for adjusting brightness and chromaticity of display panel | |
| CN104200791A (en) | Fast adaptive white balance correction method | |
| CN108305294B (en) | An Accurate Calibration Method of Camera Image Surface with Grid Target | |
| CN116912249B (en) | Sealant sealing quality detection method, device, equipment and medium thereof | |
| CN113160090A (en) | Image correction method and device | |
| CN107665676A (en) | White balance adjusting method of display device and display device | |
| CN107799055A (en) | A kind of bearing calibration of LED display based on object of reference | |
| CN107734327A (en) | A kind of brilliant synchrotron method of multi-cam module | |
| CN103220535A (en) | Non-feathered mapping curve model | |
| CN104486603A (en) | Multi-projection color correcting method based on HDR (high dynamic range) imaging | |
| CN107479222B (en) | Measuring method and device for measuring display panel | |
| CN103559008B (en) | The display packing of a kind of digital book paintbrush mark and device | |
| CN107071296B (en) | Brightness debugging method for panoramic double cameras |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20130724 |