Name
Abstract | ||
|---|---|---|
Color digital imagers contain Red, Green and Blue subpixels within each color pixel. Defects that develop either at fabrication time or due to environmentally induced errors over time can cause a single color subpixel (e.g., R) to fail, while leaving the remaining colors intact. This paper investigates seven software correction algorithms that interpolate the color of a pixel based on its nearest neighbors. Using several measurements of color error, all seven methods were investigated for a large number of digital images. Interpolations using only information from the single failed color (e.g., R) in the neighbors gave the poorest results. Those using all color measurements and a quadratic interpolation formula, combined with the remaining subpixel colors (e.g., G and B) produced significantly better results. A formula developed using the CIE color coordinates of Tristimulus values (X, Y, Z) yielded the best results. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/DFTVS.2001.966746 | DFT |
Keywords | Field | DocType |
CMOS image sensors,cameras,colour photography,fault tolerance,interpolation,CIE color coordinates,color digital camera-on-a-chip,color measurements,environmentally induced errors,fabrication time,fault-tolerance techniques,quadratic interpolation formula,software correction algorithms,subpixels,tristimulus values | Computer vision,High color,Color space,Computer science,Color balance,Color depth,Artificial intelligence,RGB color model,Color model,Color image,ICC profile | Conference |
ISSN | ISBN | Citations |
1550-5774 | 0-7695-1203-8 | 5 |
PageRank | References | Authors |
0.95 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Israel Koren | 1 | 1579 | 175.07 |
| Zahava Koren | 2 | 239 | 36.02 |
| Glenn H. Chapman | 3 | 167 | 34.10 |