Removing snow from an image via image decomposition
| Autor: | P. S. Mohod, D. Rajderkar |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Snow Image (mathematics) Image texture Component (UML) Principal component analysis Computer vision Artificial intelligence Bilateral filter business Neural coding Feature detection (computer vision) |
| Zdroj: | 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN). |
| Popis: | Snowfall removal from an image is a challenging problem. In this paper, we propose a snowfall removal framework via image decomposition based on Morphological component analysis. The proposed methods first decompose an image into low frequency (LF) and high frequency (HF) parts using bilateral filter. The high frequency part is then decomposing into “snow component” and “non snow component” by performing dictionary learning and sparse coding. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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