NACVMar 25, 2022

On the performance of preconditioned methods to solve \(L^p\)-norm phase unwrapping

arXiv:2203.13675v13 citationsh-index: 11
Originality Synthesis-oriented
AI Analysis

This work addresses computational efficiency in phase unwrapping for applications like interferometry, but it is incremental as it evaluates existing preconditioning methods.

The paper tackles the problem of improving the performance of L^p-norm phase unwrapping by analyzing five preconditioning techniques, evaluating their effectiveness with different sizes of wrapped-phase maps.

In this paper, we analyze and evaluate suitable preconditioning techniques to improve the performance of the $L^p$-norm phase unwrapping method. We consider five preconditioning techniques commonly found in the literature, and analyze their performance with different sizes of wrapped-phase maps. Keywords.- Phase unwrapping, $L^p$-norm based method, Preconditioning techniques.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes