This repository serves as a comprehensive resource hub for phase recovery (PR), a field focused on reconstructing the phase of light fields from amplitude or intensity measurements. It targets researchers and engineers in computational imaging, optics, and related fields, offering a curated collection of papers, people, companies, and workshops.

How It Works

The project is structured as a curated list of resources, categorizing phase recovery techniques and applications. It covers conventional methods like holography, interferometry, and the Transport of Intensity Equation (TIE), alongside modern deep-learning-based approaches. The deep learning section is particularly detailed, breaking down methods by their role in the PR pipeline (pre-processing, in-processing, post-processing) and by their underlying strategy (dataset-driven, physics-driven, hybrid).

Highlighted Details

• Extensive catalog of research papers, categorized by PR technique and publication year, with a focus on seminal works and recent advancements.
• Comprehensive listing of leading researchers and institutions globally, categorized by continent and affiliation.
• Detailed breakdown of deep learning applications in phase recovery, including pixel super-resolution, noise reduction, hologram generation, autofocusing, and more.
• Includes resources on books, dissertations, and workshops, providing a broad overview of the field's educational and research landscape.

Maintenance & Community

The repository is maintained by kqwang, with contributions welcomed via pull requests. The README encourages users to add or modify content following specific Markdown guidelines.

Licensing & Compatibility

The repository itself does not appear to host code or software, but rather curated links and references. Licensing information for the referenced papers or software is not provided within the README.

Limitations & Caveats

This repository is a curated list of resources and does not provide any executable code, tools, or datasets for direct use. Users must consult the referenced papers and external resources for implementation details and software.