Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
405026 | Knowledge-Based Systems | 2014 | 9 Pages |
Abstract
We propose a new image reconstruction technique that uses approximation properties of the fuzzy (F-)transform and its ability to remove noise. The proposed technique is based on the inverse F-transform and combines it with an original image on a non-damaged area. We present two algorithms of the F-transform based reconstruction: one-step and multi-step. We demonstrate how these algorithms cope with various corruptions. We compare results with interpolation and advanced inpainting techniques.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Irina Perfilieva, Pavel Vlašánek,