Impulse noise cancellation in image data using a two-output nonlinear filter
✍ Scribed by Fabrizio Russo
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 909 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0263-2241
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✦ Synopsis
The quality of image data is often degraded by impulse noise caused by noisy sensors and/or transmission errors. To address this issue, a two-output nonlinear filtering architecture is presented. The proposed approach is based on the subsequent activation of two recursive filtering algorithms that operate on different subsets of input data. As a result, two pixel values are updated at each processing step producing a very effective cancellation of noise pulses. Impulse noise removal is based on rank ordered filtering. A nonlinear mechanism for error correction is also provided in order to avoid detail blur. Validation of the method is carried out by evaluating the quality of the filtered data with respect to two conflicting performance indexes: effectiveness of noise cancellation and accuracy of detail preservation. Results of computer simulations show that the proposed approach performs significantly better than well-known nonlinear methods in the literature including state-of-the-art operators.