Nonlocal Laplace Operator in Image Processing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F20%3AA210267P" target="_blank" >RIV/61988987:17610/20:A210267P - isvavai.cz</a>
Result on the web
<a href="https://www.worldscientific.com/doi/10.1142/9789811223334_0115" target="_blank" >https://www.worldscientific.com/doi/10.1142/9789811223334_0115</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/9789811223334_0115" target="_blank" >10.1142/9789811223334_0115</a>

Result language
angličtina
Original language name
Nonlocal Laplace Operator in Image Processing
Original language description
Regularization is a principle, concerning a wide range of science domains. Several methods, using this technique, have been proposed. However, there are some limitations to the functionals used in regularization. To remove these, the idea is to employ nonlocal operators on weighted graphs in regularization process. In images, pixels have a specific organization expressed by their spatial connectivity. Therefore, a typical structure used to represent images is a graph. The problem is to choose the correct one, because the topology of graphs can be arbitrary and each type of graph is proper to different type of problem. In this work, we focus on method based on nonlocal Laplace operator, which has become increasingly popular in image processing. Moreover, we introduce the representation of F-transform based Laplace operator.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Developments of Artificial Intelligence Technologies in Computation and Robotics
ISBN
978-981-122-332-7
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
956-963
Publisher name
World Scientific
Place of publication
Singapore
Event location
Cologne
Event date
Aug 18, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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