Minimum-Maximum Exclusive Interpolation Filter for Image Denoising
| Autor: | Jinsung Oh, Younam Kim |
|---|---|
| Rok vydání: | 2007 |
| Předmět: |
Demosaicing
business.industry Applied Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Salt-and-pepper noise Reconstruction filter Non-local means Computer Graphics and Computer-Aided Design Composite image filter Adaptive filter Computer Science::Computer Vision and Pattern Recognition Signal Processing Prototype filter Computer vision Artificial intelligence Electrical and Electronic Engineering business Mathematics Interpolation |
| Zdroj: | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :1228-1231 |
| ISSN: | 1745-1337 0916-8508 |
| DOI: | 10.1093/ietfec/e90-a.6.1228 |
| Popis: | In this paper, we present a directional interpolation filter in which the minimum and maximum pixels in the given window are excluded. Image pixels within a predefined window are ranked and classified as minimum-maximum or exclusive level, and then passed through the interpolation and identity filters, respectively. Extensive simulations show that the proposed filter performs better than other nonlinear filters in preserving desired image features while reducing impulse noise effectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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