An iterative phase retrieval method for nonperiodic objects has been developed from the charge-flipping algorithm proposed in crystallography. A combination of the hybrid input–output (HIO) algorithm and the flipping algorithm has greatly improved performance. In this combined algorithm the flipping algorithm serves to find the support (object boundary) dynamically, and the HIO part improves convergence and moves the algorithm out of local minima. It starts with a single intensity measurement in the Fourier domain and does not require a priori knowledge of the support in the image domain. This method is suitable for general image recovery from oversampled diffuse elastic x-ray and electron-diffraction intensities. The relationship between this algorithm and the output–output algorithm is elucidated.

© 2004 Optical Society of America

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Log in to access OSA Member Subscription

Related Journal Articles

• Synthetic-aperture radar autofocus by maximizing sharpness (OL)
• Algebraic Reconstruction of a Small-Scale Wave Front (AO)
• Two-dimensional phase retrieval using a window function (OL)
• Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization (JOSAA)
• Aberration correction by maximizing generalized sharpness metrics (JOSAA)

Related Conference Papers

• Lensless Coherent Imaging with Shaped Illumination and Phase-Retrieval Image Reconstruction
• Lensless Coherent Imaging with Shaped Illumination and Phase-Retrieval Image Reconstruction
• Low-rank reconstruction filters for extended depth of focus imaging
• Coherent imaging with illumination optics designed for the reconstruction algorithm
• Reconstruction of Imagery Reflected from Water Surface