Multiplicative operator splittings in nonlinear diffusion: From spatial splitting to multiple timesteps

  • Barash D
  • Schlick T
  • Israeli M
 et al. 
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Abstract

Operator splitting is a powerful concept used in many diversed fields of applied mathematics for the design of effective numerical schemes. Following the success of the additive operator splitting (AOS) in performing an efficient nonlinear diffusion filtering on digital images, we analyze the possibility of using multiplicative operator splittings to process images from different perspectives.

Author-supplied keywords

  • Additive operator splittings
  • Multiple timestep methods
  • Multiplicative operator splittings
  • Nonlinear diffusion

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Authors

  • Danny Barash

  • Tamar Schlick

  • Moshe Israeli

  • Ron Kimmel

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