Local blur estimation based on toggle mapping
| Autor: | Théodore Chabardès, Beatriz Marcotegui |
|---|---|
| Přispěvatelé: | Centre de Morphologie Mathématique (CMM), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), FUI LINX |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
toggle mapping
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Local blur estimation DIQA database [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision No-reference blur estimation Artificial intelligence business |
| Zdroj: | 12th International Symposium on Mathematical Morphology 12th International Symposium on Mathematical Morphology, May 2015, Reikjavik, Iceland Lecture Notes in Computer Science ISBN: 9783319187198 ISMM |
| Popis: | International audience; A local blur estimation method is proposed, based on the difference between the gradient and the residue of the toggle mapping. This method is able to compare the quality of images with different content and does not require a contour detection step. Qualitative results are shown in the context of the LINX project. Then, quantitative results are given on DIQA database, outperforming the combination of classical blur detection methods reported in the literature. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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