Variational methods in image processing

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


A short review is given on the rationale for using cost functions and optimization methods for modeling image processing and computer vision problems. Classical examples of various costs and functionals are given, illustrating this highly effective algorithmic approach. We examine different mathematical models Sects. (2.1, 2.2 and 2.5), as well as image processing tasks Sects. (2.3, 2.4).

Original languageEnglish
Title of host publicationNonlinear Eigenproblems in Image Processing and Computer Vision
Number of pages23
StatePublished - 2018

Publication series

NameAdvances in Computer Vision and Pattern Recognition

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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