Name
Abstract | ||
|---|---|---|
Detection of defective pixels that develop on-line is a vital part of fault tolerant schemes for repairing imagers during operation. This paper presents a new algorithm for the identification of stuck low, stuck high, and partially stuck pixels in both regular and fault tolerant APS systems. The algorithm does not require specialized illuminations but instead operates on a sequence of regular images and uses statistical information extracted from each image to decide the state of each pixel. Unlike previous techniques, simulations of this technique show that it can find all faulty pixels without misidentifying good pixels as faulty. Under typical conditions, the algorithm will successfully converge on the correct result within 238 images for a fault tolerant APS, and 16 images for a regular APS. More extensive simulations have shown that these results can be extended to high-resolution sensors and complex defect models that include hot pixels, without a significant decline in performance. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/DFTVS.2005.54 | DFT |
Keywords | Field | DocType |
CMOS image sensors,fault diagnosis,fault tolerance,defective pixel detection,fault tolerant APS systems,fault tolerant active pixel sensors,fault-tolerant imagers,faulty pixels,high-resolution sensors,online fault identification,partially stuck pixels,stuck high pixels,stuck low pixels | Fault coverage,Computer science,Real-time computing,Electronic engineering,Fault tolerance,Pixel | Conference |
ISSN | ISBN | Citations |
1550-5774 | 0-7695-2464-8 | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Glenn H. Chapman | 1 | 167 | 34.10 |
| Koren, I. | 2 | 96 | 11.28 |
| Koren, Z. | 3 | 13 | 1.41 |
| Jozsef Dudas | 4 | 20 | 4.58 |