Abstract
Summary form only given. A least-squares filter for the restoration of multichannel images is presented. The process involves the removal of noise and degradation from observed multichannel imagery, such as color or multispectral images. The restoration filters utilize information distributed across image channels and process all channels as a single entity. They use a priori information and constraints, thus avoiding some of the drawbacks of the minimum-mean-squared-error filter.
| Original language | English |
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| Pages | 179-181 |
| Number of pages | 3 |
| Publication status | Published - 1989 |
| Externally published | Yes |
| Event | Sixth Multidimensional Signal Processing Workshop - Pacific Grove, CA, USA Duration: 6 Sept 1989 → 8 Sept 1989 |
Conference
| Conference | Sixth Multidimensional Signal Processing Workshop |
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| City | Pacific Grove, CA, USA |
| Period | 6/09/89 → 8/09/89 |