Relaxed averaged alternating reflections for diffraction imaging

By D. R. Luke. 2004

435 citations recorded by the source corpus.

We report on progress in algorithms for iterative phase retrieval. The theory of convex optimization is used to develop and to gain insight into counterparts for the nonconvex problem of phase retrieval. We propose a relaxation of averaged alternating reflectors and determine the fixed-point set of the related operator in the convex case. A numerical study supports our theoretical observations and demonstrates the effectiveness of the algorithm compared to the current state of the art.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, Radiation

View Paper: https://www.semanticscholar.org/paper/db0f607e2321c4a26748c1954a4d384d16d95384

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

  1. Richard L. Sandberg
  2. Yonina C. Eldar
  3. Henry N. Chapman
  4. Oren Cohen
  5. Jianwei Miao
  6. Mordechai Segev
  7. Jianwei Miao
  8. Yoav Shechtman

In Computer Vision and Pattern Recognition

  1. Yoav Shechtman
  2. Yonina C. Eldar
  3. Henry N. Chapman
  4. Oren Cohen
  5. Mordechai Segev
  6. Jianwei Miao
  7. Richard L. Sandberg
  8. Jianwei Miao

In Radiation

  1. Yonina C. Eldar
  2. Yoav Shechtman
  3. Richard L. Sandberg
  4. Changyong Song
  5. Henry N. Chapman
  6. Oren Cohen
  7. Mordechai Segev
  8. Jianwei Miao

Citations in the corpus