English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Reconstructing images from their Fourier magnitude measurements is a problemthat often arises in different research areas. This process is also referred toas phase retrieval. In this work, we consider a modified version of the phaseretrieval problem, which allows for a reference image to be added onto theimage before the Fourier magnitudes are measured. We analyze an unrolledGerchberg-Saxton (GS) algorithm that can be used to learn a good referenceimage from a dataset. Furthermore, we take a closer look at the learnedreference images and propose a simple and efficient heuristic to constructreference images that, in some cases, yields reconstructions of comparablequality as approaches that learn references. Our code is available athttps://github.com/tuelwer/reference-learning.

A Closer Look at Reference Learning for Fourier Phase Retrieval