Abstract
This paper presents an elegant solution to the impulse noise cancellation problem for images. The approach taken here is based on the theory of error-correcting (BCH) codes. Impulses are considered as `errors'. The process is in two steps: First, find the error locations in the image; then, correct the error values. A first pass is made on the lines of the image, a second pass is then performed on the columns. Next the same procedure is repeated. In most cases, impulse noise is completely removed after a few iterations are performed.
| Original language | English |
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| Pages | 275-278 |
| Number of pages | 4 |
| Publication status | Published - 1 Jan 1996 |
| Event | Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway Duration: 1 Sept 1996 → 4 Sept 1996 |
Conference
| Conference | Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop |
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| City | Loen, Norway |
| Period | 1/09/96 → 4/09/96 |