Researchers have developed a novel translation-invariant tile-based phase unwrapping method that combines frequency-domain unwrapping with spatial merging. This approach jointly performs unwrapping and noise filtering, regularizing the inverse problem and confining errors to individual tiles. By averaging shifts of the grid and symmetries of the square, weighted by the Poisson residual, the method effectively removes tiling artifacts and improves upon existing state-of-the-art algorithms in experiments with synthetic and real data. AI
IMPACT This new method could improve the accuracy and robustness of phase unwrapping in various imaging applications.
RANK_REASON This is a research paper detailing a new method for phase unwrapping in image processing. [lever_c_demoted from research: ic=1 ai=0.4]
- alphaXiv
- arXiv
- CatalyzeX Code Finder for Papers
- Connected Papers
- CORE Recommender
- DagsHub
- discrete cosine transform
- eess.IV
- Ghiglia
- Gotit.pub
- Hugging Face
- Influence Flower
- Litmaps
- Poisson
- ScienceCast
- scite Smart Citations
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →