kqwang/phase-recovery

• highreadme#1

  Reposition the README H1 and opening paragraph to clarify repo's nature

  Why:

  CURRENT

  # Resources for phase recovery
  # Released from here
  Here, we refer to *“calculating the phase of a light field from 
  its amplitude/intensity measurements”* as phase recovery (PR), which contains many techniques and algorithms, such as holography/interferometry, 
  transport of intensity equation (TIE),  phase retrieval (optimization-based approaches), wavefront sensing, and deep-learning-based approaches.

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  # A Curated Collection of Resources for Phase Recovery
  This repository provides a comprehensive, curated collection of resources for phase recovery (also known as phase imaging, phase retrieval, or phase reconstruction). It covers various techniques and algorithms, including holography/interferometry, transport of intensity equation (TIE), optimization-based phase retrieval, wavefront sensing, and deep-learning approaches.

  OpenDoneDismiss
• mediumtopics#2

  Add 'awesome-list' to repository topics

  Why:

  CURRENT

  computational-imaging, deep-learning, holography, interferometry, phase-imaging, phase-reconstruction, phase-recovery, phase-retrieval, ptychography, wavefront-sensing

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  computational-imaging, deep-learning, holography, interferometry, phase-imaging, phase-reconstruction, phase-recovery, phase-retrieval, ptychography, wavefront-sensing, awesome-list

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• lowabout#3

  Enhance the repository description

  Why:

  CURRENT

  Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)

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  A curated collection of resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction), including research papers, academic groups, companies, and workshops.

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to reconstruct the phase of a light field from amplitude or intensity measurements?

  you: not recommended
  AI recommended (in order):

  1. ePIE
  2. mPIE
  3. Gerchberg-Saxton Algorithm
  4. Fienup Algorithms
  5. Hybrid Input-Output (HIO)
  6. Error Reduction (ER)
  7. Thorlabs
  8. Imagine Optic
  9. Optocraft
  10. Sidewinder
  11. Sagnac

  AI recommended 11 alternatives but never named kqwang/phase-recovery. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  What are the best deep learning methods for computational phase imaging and retrieval?

  you: not recommended
  AI recommended (in order):

  1. U-Net
  2. Attention U-Net
  3. Residual U-Net
  4. Generative Adversarial Networks (GANs)
  5. Pix2Pix
  6. CycleGAN
  7. Physics-Informed Neural Networks (PINNs)
  8. Deep Image Prior (DIP)
  9. Transformers
  10. Vision Transformer (ViT)
  11. Swin Transformer

  AI recommended 11 alternatives but never named kqwang/phase-recovery. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of kqwang/phase-recovery?

  pass
  ⚠AI did not name kqwang/phase-recovery — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts kqwang/phase-recovery in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named kqwang/phase-recovery explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo kqwang/phase-recovery solve, and who is the primary audience?

  pass
  ✓AI named kqwang/phase-recovery explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?