Taylor series and adaptive fusion strategy for Bayer demosaicking
| Autor: | Joohyeok Kim, Jechang Jeong, Gwanggil Jeon |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
business.product_category
Demosaicing Channel (digital image) Computer science business.industry Image quality Applied Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image (mathematics) symbols.namesake Computational Theory and Mathematics Artificial Intelligence Signal Processing Taylor series symbols Color filter array Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering Statistics Probability and Uncertainty business Digital camera Interpolation |
| Zdroj: | Digital Signal Processing. 35:53-63 |
| ISSN: | 1051-2004 |
| DOI: | 10.1016/j.dsp.2014.07.012 |
| Popis: | Demosaicking is an important step in generating a full-color image from a color filter array image captured by a single-sensor digital camera. In this paper, we propose a new demosaicking algorithm which uses Taylor series and an adaptive fusion strategy. For generating directional predictors, we present a new interpolator based on Taylor series. The directional predictors are used together with spatial and spectral correlations. Using these predictors and the adaptive fusion strategy improves the green channel interpolation, in turn helping to reconstruct the red and blue channel interpolations. Experiments comparing the proposed algorithm to some other demosaicking algorithms show that the proposed algorithm provides superior performance in terms of both objective and subjective image quality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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