Enhanced F-transform Exemplar Based Image Inpainting

被引：0
|
作者：
Vlasanek, Pavel [1 ]
机构：
[1] Univ Ostrava, Inst Res & Applicat Fuzzy Modeling, Ctr Excellence IT4Innovat, 30 Dubna 22, CZ-70103 Ostrava, Czech Republic
来源：
INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: THEORY AND FOUNDATIONS, PT II | 2018年 / 854卷
关键词：
Image inpainting; Fuzzy transform; Patches; RECONSTRUCTION;
D O I：
10.1007/978-3-319-91476-3_12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focuses on a completion of the partially damaged image. There are a variety of techniques to deal with this task. Our contribution belongs to the group of exemplar based image inpainting techniques which process the image what was separated to the many small regions. The regions are called patches and the task of inpainting becomes the task of searching for the most suitable patch from the undamaged part of the image to replace the partially damaged one. Our novelty is in processing based on fuzzy mathematics and new filling order prioritization function.
引用
收藏
页码：139 / 150
页数：12
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