Name
Abstract | ||
|---|---|---|
The paper presents an automated color inspection and compensation solutions for color LED modules which are main components of a color LED display panel. Initially, a self-developed color optical sensing module and a colorimeter were used to measure the colors of LED pixels. After the color matching functions from the collected data was corrected by least-squares approximation method, the calibrated measured sensing module was applied to inspect the color characteristics of LED modules. And the chrominance and luminance data are well analyzed to perform a white light chrominance correction and luminance uniformity compensation for LED display modules. Some 2R1G1B LED modules (16×16 LEDs) from a local industry were verified in this study. The experimental results from the central 8×8 LEDs show that the average color difference of a target D65 white light with a chrominance of (0.1978, 0.4683) by using a 2R1G1B LED module is about 0.027006 before compensation, but the average color difference can be reduced to 0.003474 after it was compensated by using the proposed method. Meanwhile, the luminance difference was also reduced to less than 3.541%. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICMLC.2011.6016985 | ICMLC |
Keywords | Field | DocType |
led pixel color measurement,colour displays,calibration,rgb color sensor,least-squares approximation,automated color quality compensation,calibrated measured sensing module,2r1g1b led module,compensated look up table (clut),light emitting diodes module (leds),white light chrominance correction,least-square approximation method,luminance uniformity compensation,color measurement,least squares approximations,optical sensors,colorimeter,led displays,self-developed color optical sensing module,brightness,colorimeters,compensation,automated color quality inspection,color matching function,color led display panel module,average color difference,luminance difference,light emitting diodes,least squares approximation,light emitting diode,sensors,testing,look up table,machine learning,matched filters,matched filter | Computer vision,SeaChanger Color Engine,Color space,Pattern recognition,Computer science,Color balance,Color depth,Artificial intelligence,RGB color model,Color filter array,Color difference,ICC profile | Conference |
Volume | ISSN | ISBN |
4 | 2160-133X | 978-1-4577-0305-8 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming-Jong Tsai | 1 | 2 | 2.52 |
| Shu-Huai Chang | 2 | 26 | 1.42 |
| Chia-Liang Lee | 3 | 1 | 0.77 |
| Chia-Te Chou | 4 | 30 | 3.27 |