التفاصيل البيبلوغرافية
| العنوان: |
IMAGE DISPLAY SYSTEM AND METHOD FOR ELIMINATING MURA DEFECTS |
| Document Number: |
20080284794 |
| تاريخ النشر: |
November 20, 2008 |
| Appl. No: |
12/113486 |
| Application Filed: |
May 01, 2008 |
| مستخلص: |
Image display techniques for eliminating mura defects, which collects reference data and adjusts the gray levels. The image display systems comprising a plurality of pixels, a memory, and an ASIC. Each of the pixels relates to a mura compensation coefficient set. The mura compensation coefficient sets of the pixels are generated by a coefficient generator. The memory stores the mura compensation coefficient sets of the pixels. The ASIC reads the mura compensation coefficient sets from the memory. With different mura compensation coefficient sets, the ASIC serves as different mura compensation function sets. Each mura compensation function set relates to one of the aforementioned pixels and is used for transforming an original gray level to a mura-eliminated gray level to drive the corresponding pixel. |
| Inventors: |
WANG, Shou-Cheng (Jhubei City, TW); Peng, Du-Zen (Jhubei City, TW) |
| Assignees: |
Top Team Int'l Patent & Trademark Office (Chu-Nan, TW) |
| Claim: |
1. An image display system, comprising a plurality of pixels, each relating to a mura compensation coefficient set; a memory, storing the mura compensation coefficient sets of the pixels; and an ASIC, retrieving the mura compensation coefficient sets from the memory and forming different mura compensation function sets with different mura compensation coefficient sets, wherein each mura compensation function set is used for transforming an original gray level of the corresponding pixel to a mura-eliminated gray level that is used in driving the pixel; wherein the mura compensation coefficient sets are generated by a coefficient generator comprising: a plurality of sensing units, sensing the pixels and outputting sensed data; an average brightness measuring instrument, measuring an average brightness of the pixels; and a processing unit, transforming the sensed data to brightness data based on the average brightness; wherein the processing unit provides at least one test gray level to test the pixels and generate the mura compensation coefficient set of each pixel according to the relationship between the test gray level and the corresponding brightness datum. |
| Claim: |
2. The system as claimed in claim 1, wherein the processing unit tests the pixels by more than one test gray level and collects the corresponding brightness data to generate a gray level—brightness datum relationship model for each pixel. |
| Claim: |
3. The system as claimed in claim 2, wherein each mura compensation function set comprises an original gray level—expected brightness transformation, [mathematical expression included] where yo represents the original gray level, Lpeak represents a peak brightness, γ represents a gamma coefficient, and xe represents an expected brightness corresponding to yo while Lpeak and γ are satisfied. |
| Claim: |
4. The system as claimed in claim 3, wherein each gray level—brightness relationship datum model is described by the following equation: y=a·xn+b·x2+c·x+d, where y represents the gray level actually driving the pixel, x represents the brightness datum corresponding to y, n represents an exponential factor, dependent on γ, and a, b, c, d and n form the mura compensation coefficient set of the pixel. |
| Claim: |
5. The system as claimed in claim 4, wherein each mura compensation function set further comprises an expected brightness—mura-eliminated gray level transformation, yc=a·xen+b·xe2+c·xe+d, where yc represents the mura-eliminated gray level corresponding to xe. |
| Claim: |
6. The system as claimed in claim 3, wherein the each gray level—brightness datum relationship model is described by the following equation: y=a·xn+b·x+c, where y represents the gray level actually driving the pixel, x represents the brightness datum corresponding to y, n represents an exponential factor, dependent on the illumination of the panel area the pixel located, and a, b, c and n form the mura compensation coefficient set of the pixel. |
| Claim: |
7. The system as claimed in claim 6, wherein each mura compensation function set further comprises an expected brightness—mura-eliminated gray level transformation, yc=a·xen+b·xe+c, where yc represents the mura-eliminated gray level corresponding to xe. |
| Claim: |
8. The system as claimed in claim 1, further comprising a display panel, comprising the pixels, the memory and the ASIC. |
| Claim: |
9. The system as claimed in claim 8, further comprising an electronic device, comprising: the display panel; and an input unit, coupled to the display panel to receive images to be displayed by the display panel. |
| Claim: |
10. The system as claimed in claim 9, wherein the electronic device is a cell phone, a digital camera, a personal digital assistant, a notebook, a desktop, a television, a car display panel, or a portable DVD player. |
| Claim: |
11. The system as claimed in claim 1, wherein the brightness datum and the sensed datum follow the following equation: L=LAVG·(G/GAVG)r where LAVG represents the average brightness, G represents the sensed datum, GAVG represents the average value of the sensed data of all pixels, and r represents an adjusting factor, dependent on a sensed data—actual brightness linearity of the corresponding pixel. |
| Claim: |
12. A method for eliminating mura defect, comprising: providing a plurality of sensing units for a plurality of pixels of a pixel array to generate sensed data of the pixels; providing an average brightness measuring instrument to measure an average brightness of the pixels; providing a processing unit, transforming the sensed data to brightness data based on the average brightness; providing at least one test gray level to test the pixels and generate a mura compensation coefficient set for each pixel according to the relationship between the test gray level and the corresponding brightness datum; storing the mura compensation coefficient sets into a memory; providing an ASIC to retrieve the mura compensation coefficient sets from the memory and form different mura compensation function sets with different mura compensation coefficient sets, wherein each mura compensation function set is used for transforming an original gray level of the corresponding pixel to a mura-eliminated gray level; and driving the pixels by the mura-eliminated gray levels. |
| Claim: |
13. The method as claimed in claim 12, further comprising testing the pixels by more than one test gray level and collecting the corresponding brightness data to generate a gray level—brightness relationship datum model for each pixel. |
| Claim: |
14. The method as claimed in claim 13, wherein each gray level—brightness relationship datum model is described by the following equation: y=a·xn+b·x2+c·x+d, where y represents the gray level actually driving the pixel, x represents the brightness datum corresponding to y, n represents an exponential factor, dependent on a gamma factor, and a, b, c, d and n form the mura compensation coefficient set of the pixel. |
| Claim: |
15. The method as claimed in claim 14, wherein each mura compensation function set comprises an original gray level—expected brightness transformation, [mathematical expression included] where yo represents the original gray level, Lpeak represents a peak brightness, γ represents the gamma coefficient, and xe represents an expected brightness corresponding to yo while Lpeak and γ are satisfied. |
| Claim: |
16. The method as claimed in claim 14, wherein each mura compensation function set further comprises an expected brightness—mura-eliminated gray level transformation, yc=a·xen+b·xe2+c·xe+d, where yc represents the mura-eliminated gray level corresponding to xe. |
| Claim: |
17. The method as claimed in claim 13, wherein the each gray level—brightness datum relationship model is described by the following equation: y=a·xn+b·x+c, where y represents the gray level actually driving the pixel, x represents the brightness datum corresponding to y, n represents an exponential factor, dependent on the illumination of the panel area the pixel located, and a, b, c and n form the mura compensation coefficient set of the pixel. |
| Claim: |
18. The method as claimed in claim 17, wherein the exponential factor is set by: dividing the pixel array into a plurality of regions according to the luminance of the pixels; sampling pixels in each region and estimating the exponential factors of the sampled pixels; averaging the estimated exponential factors in each region to get an average exponential factor of each region; and assigning the average exponential factor to all pixels in the corresponding region as the exponential factors of the pixels. |
| Claim: |
19. The method as claimed in claim 17, wherein each mura compensation function set comprises an original gray level—expected brightness transformation, [mathematical expression included] where yo represents the original gray level, Lpeak represents a peak brightness, γ represents the gamma coefficient, and xe represents an expected brightness corresponding to yo while Lpeak and γ are satisfied. |
| Claim: |
20. The method as claimed in claim 19, wherein each mura compensation function set further comprises an expected brightness—mura-eliminated gray level transformation, yc=a·xen+b·xe+c, where yc represents the mura-eliminated gray level corresponding to xe. |
| Claim: |
21. The method as claimed in claim 12, further comprising executing a brightness datum—idea gray level transformation, [mathematical expression included] where xt represents the brightness datum, Lpeak and γ represent a peak brightness and a gamma factor of the corresponding pixel, respectively, and yr represents an idea gray level corresponding to xt while Lpeak and γ are satisfied. |
| Claim: |
22. The method as claimed in claim 21, further comprising testing the pixels by more than one test gray level and, for each pixel, calculating gray level differences between the test gray levels and the corresponding ideal gray levels and regarding the gray level differences as the mura compensation coefficient set of the corresponding pixel. |
| Claim: |
23. The method as claimed in claim 22, wherein the behavior of the mura compensation function set further comprises: determining the value of the original gray level of the corresponding pixel to find out the test gray level near the original gray level; and adjusting the original gray level by the gray level difference corresponding to the test gray level to get the mura-eliminated gray level. |
| Claim: |
24. The method as claimed in claim 21, further comprising calculating a gray level difference between the test gray level and the ideal gray level for each pixel, and regarding the gray level difference and a plurality of weight factors as the mura compensation coefficient set of the corresponding pixel. |
| Claim: |
25. The method as claimed in claim 24, wherein the behavior of the mura compensation function set further comprises: determining the value of the original gray level of the corresponding pixel to find out the weight factor corresponding to the original gray level; multiplying the gray level difference by the weight factor to get a weighted gray level difference; and adjusting the original gray level by the weighted gray level difference to get the mura-eliminated gray level. |
| Current U.S. Class: |
345/618 |
| Current International Class: |
09 |
| رقم الانضمام: |
edspap.20080284794 |
| قاعدة البيانات: |
USPTO Patent Applications |