A Practical Guide to Multi-Image Alignment

Journal Article

Multi-image alignment, bringing a group of images into common register, is an ubiquitous problem and the first step of many applications in a wide variety of domains. As a result, a great amount of effort is being invested in developing efficient multi-image alignment algorithms. Little has been done, however, to answer fundamental practical questions such as: what is the comparative performance of existing methods? is there still room for improvement? under which conditions should one technique be preferred over another? does adding more images or prior image information improve the registration results? In this work, we present a thorough analysis and evaluation of the main multi-image alignment methods which, combined with theoretical limits in multi-image alignment performance, allows us to organize them under a common framework and provide practical answers to these essential questions.

Full Text

Duke Authors

Cited Authors

  • Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G

Published Date

  • September 10, 2018

Published In

Volume / Issue

  • 2018-April /

Start / End Page

  • 1927 - 1931

International Standard Serial Number (ISSN)

  • 1520-6149

Digital Object Identifier (DOI)

  • 10.1109/ICASSP.2018.8461588

Citation Source

  • Scopus