Cleaning Images with Gaussian Process Regression

@article{Zhang2021CleaningIW,
  title={Cleaning Images with Gaussian Process Regression},
  author={Hengyue Zhang and Timothy D. Brandt},
  journal={The Astronomical Journal},
  year={2021},
  volume={162}
}
Many approaches to astronomical data reduction and analysis cannot tolerate missing data: corrupted pixels must first have their values imputed. This paper presents astrofix, a robust and flexible image imputation algorithm based on Gaussian process regression. Through an optimization process, astrofix chooses and applies a different interpolation kernel to each image, using a training set extracted automatically from that image. It naturally handles clusters of bad pixels and image edges and… 

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