Laknath1996/DeepPhaseUnwrap
This repository Introduces a joint convolutional and spatial quad-directional LSTM (SQD-LSTM) network for phase unwrapping in 2D images (ICASSP 2021)
This tool helps researchers and engineers accurately process phase data from images by 'unwrapping' it. It takes raw 2D phase images, which often have ambiguous jumps, and outputs a continuous, corrected phase map that is much easier to interpret and use in scientific analysis. This is valuable for anyone working with interferometry, microscopy, or other imaging techniques where phase information is critical.
No commits in the last 6 months.
Use this if you need to reliably convert wrapped phase data in 2D images into a smooth, continuous phase representation for further analysis.
Not ideal if you are not familiar with deep learning workflows or if you need a plug-and-play solution without any code setup.
Stars
52
Forks
6
Language
Python
License
MIT
Category
Last pushed
Oct 31, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Laknath1996/DeepPhaseUnwrap"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
deepinv/deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
fidler-lab/polyrnn-pp
Inference Code for Polygon-RNN++ (CVPR 2018)
mhamilton723/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
yjxiong/tsn-pytorch
Temporal Segment Networks (TSN) in PyTorch
pyxu-org/pyxu
Modular and scalable computational imaging in Python with GPU/out-of-core computing.