Probing the Smallest Solar Scales Available in AIA
Abstract
The solar imaging axiom, “the closer we look, the more we see,” is as true now in the era of routine sub-arcsecond imaging as it has ever been. To make the most of these images and observe features at the instrumental limits of spatial and temporal resolution, we must first effectively assess and remove image noise. Noise is present in any measurement due to both instrumental and random effects. At the pixel scale, the noise component of the image can become significant and impede feature recognition and segmentation. A Poisson-Gaussian model of noise is well suited in the digital imaging environment due to the statistical distributions of photons and the characteristics of the CCD. We create a practical estimate of noise in the AIA images across the detector CCD using a variety of statistical techniques. We find that at the smallest scales, spatial and temporal signals are linked. This means that it is impossible to estimate and remove the noise at the smallest spatial scales without considering the temporal changes between images.
- Publication:
-
AAS/Solar Physics Division Abstracts #48
- Pub Date:
- August 2017
- Bibcode:
- 2017SPD....4820706K