Literature DB >> 17283787

Inpainting of binary images using the Cahn-Hilliard equation.

Andrea L Bertozzi, Selim Esedoglu, Alan Gillette.   

Abstract

Image inpainting is the filling in of missing or damaged regions of images using information from surrounding areas. We outline here the use of a model for binary inpainting based on the Cahn-Hilliard equation, which allows for fast, efficient inpainting of degraded text, as well as super-resolution of high contrast images.

Mesh:

Year:  2007        PMID: 17283787     DOI: 10.1109/tip.2006.887728

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  3 in total

1.  Similarity regularized sparse group lasso for cup to disc ratio computation.

Authors:  Jun Cheng; Zhuo Zhang; Dacheng Tao; Damon Wing Kee Wong; Jiang Liu; Mani Baskaran; Tin Aung; Tien Yin Wong
Journal:  Biomed Opt Express       Date:  2017-07-20       Impact factor: 3.732

Review 2.  On the image inpainting problem from the viewpoint of a nonlocal Cahn-Hilliard type equation.

Authors:  Antun Lovro Brkić; Darko Mitrović; Andrej Novak
Journal:  J Adv Res       Date:  2020-05-15       Impact factor: 12.822

3.  A comparison of deep-learning-based inpainting techniques for experimental X-ray scattering.

Authors:  Tanny Chavez; Eric J Roberts; Petrus H Zwart; Alexander Hexemer
Journal:  J Appl Crystallogr       Date:  2022-09-28       Impact factor: 4.868

  3 in total

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