Publication
Title
ImWIP : open-source image warping toolbox with adjoints and derivatives
Author
Abstract
Image warping is a popular tool for modeling deformation and motion in digital images. Inversion of such models requires two related operators: adjoint and differentiated image warping. Many applications rely on these operators, often through ad hoc and approximate implementations, which leads to a suboptimal quality and convergence speed, and hinders development of and comparison across different applications. In this work, we present an open-source image warping toolbox called ImWIP (Image Warping for Inverse Problems) that overcomes these issues. It implements differentiable image warping operators, together with their exact adjoints and derivatives (up to floating point errors). ImWIP is demonstrated on examples from X-ray computed tomography and magnetic resonance imaging, and is shown to improve both reconstruction quality and convergence speed compared to state-of-the-art warping methods.
Language
English
Source (journal)
SoftwareX
Publication
2023
ISSN
23527110
2352-7110
DOI
10.1016/J.SOFTX.2023.101524
Volume/pages
24 (2023) , p. 1-7
Article Reference
101524
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 14.12.2023
Last edited 30.01.2024
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