Invited article: a [corrected] unified evaluation of iterative projection algorithms for phase retrieval

Area of Science:

• Computational imaging
• Diffraction-limited imaging
• Phase retrieval

Background:

• Iterative projection algorithms are replacing traditional lenses in computational imaging.
• These algorithms numerically recombine scattered light for image reconstruction.
• This enables aberration-free, diffraction-limited imaging, especially for radiation lacking lenses.

Purpose of the Study:

• To evaluate computational
• instruments
• (algorithms) for phase retrieval.
• To discuss acceleration strategies for these iterative projection algorithms.

Main Methods:

• Evaluation of iterative projection algorithms for phase retrieval.
• Analysis of computational imaging techniques.
• Exploration of algorithm acceleration strategies.

Main Results:

• Computational imaging offers aberration-free, diffraction-limited imaging.
• Algorithms are successfully substituting lenses for image reconstruction.
• Potential for imaging with radiation types that lack conventional lenses.

Conclusions:

• Iterative projection algorithms are effective computational tools for phase retrieval.
• Acceleration strategies can enhance the performance of these imaging algorithms.
• This approach expands the possibilities of diffraction-limited imaging.