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PDE based inpainting algorithms: performance evaluation of the Cahn-Hillard model

Author

Listed:
  • Alberto De Santis

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

  • Roberto Castorrini

    (Department of Computer, Control and Management Engineering Antonio Ruberti (DIAG), University of Rome La Sapienza, Rome, Italy)

Abstract

Image inpainting consists in restoring a missing or a damaged part of an image on the basis of the signal information in the pixels surrounding the missing domain. To this aim a suitable image model is needed to represent the signal features to be reproduced within the inpainting domain, also depending on the size of the missing area. With no claim of completeness, in this paper the main streamline of the development of the PDE based models is retraced. Then, the Cahn-Hillard model for binary images is analyzed in detail and its performances are evaluated on some numerical experiments.

Suggested Citation

  • Alberto De Santis & Roberto Castorrini, 2016. "PDE based inpainting algorithms: performance evaluation of the Cahn-Hillard model," DIAG Technical Reports 2016-03, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    • Handle: RePEc:aeg:report:2016-03
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