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A unification of least-squares and Green-Gauss gradients under a common projection-based gradient reconstruction framework.

Alexandros SyrakosOliver F. OxtobyEugene De VilliersStylianos VarchanisYannis DimakopoulosJohn Tsamopoulos
Published in: Math. Comput. Simul. (2023)
Keyphrases
  • least squares
  • main contribution
  • probabilistic model
  • theoretical framework
  • neural network
  • three dimensional
  • high resolution
  • computationally efficient
  • image reconstruction
  • structure tensor