A neural network adaptive filter is introduced for the removal of impulse noise in digital images. Using pixel classification by a self-organising neural network to detect the positions of the noisy pixels, the filter is able to effectively eliminate the impulses while retaining image integrity. Det
✦ LIBER ✦
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
✍ Scribed by Jian-Feng Cai; Raymond H. Chan; Carmine Di Fiore
- Publisher
- Springer US
- Year
- 2007
- Tongue
- English
- Weight
- 645 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0924-9907
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Using a calibration method, we prove that, if w is a function which satisfies all Euler conditions for the Mumford-Shah functional on a two-dimensional open set , and the discontinuity set S w of w is a regular curve connecting two boundary points, then there exists a uniform neighbourhood U of S w