On the 2D Teager-Kaiser Operator
| dc.contributor.author | Julián Quiroga | |
| dc.contributor.author | Alfredo Restrepo | |
| dc.contributor.author | Lina Wedefort | |
| dc.contributor.author | María Velasco | |
| dc.coverage.spatial | Bolivia | |
| dc.date.accessioned | 2026-03-22T16:43:53Z | |
| dc.date.available | 2026-03-22T16:43:53Z | |
| dc.date.issued | 2007 | |
| dc.description | Citaciones: 1 | |
| dc.description.abstract | The Teager-Kaiser operator is a discrete version of Teager's energy operator, advanced about 16 years ago. It is a filter of the moving window type and is commonly used as an estimator of the local energy contents of a signal; it is also used as a contrast enhancer of gray level images. We state some properties of a 2D version of the operator and its responses to common images. We characterize some of its root and preconstant images, and consider the case of separable images. | |
| dc.identifier.doi | 10.1109/icip.2007.4379817 | |
| dc.identifier.uri | https://doi.org/10.1109/icip.2007.4379817 | |
| dc.identifier.uri | https://andeanlibrary.org/handle/123456789/59972 | |
| dc.language.iso | en | |
| dc.source | Universidad de Los Andes | |
| dc.subject | Energy operator | |
| dc.subject | Operator (biology) | |
| dc.subject | Contrast (vision) | |
| dc.subject | Artificial intelligence | |
| dc.subject | Mathematics | |
| dc.subject | Sliding window protocol | |
| dc.subject | Estimator | |
| dc.subject | Computer science | |
| dc.subject | Energy (signal processing) | |
| dc.subject | Computer vision | |
| dc.title | On the 2D Teager-Kaiser Operator | |
| dc.type | article |