Multiresponse imaging: Information and fidelity

Rachel Alter-Gartenberg, Carl L. Fales, Friedrich O. Huck, Zia Ur Rahman, Stephen E. Reichenbach

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

Multiresponse imaging is a process that acquires[Figure not available: see fulltext.] images, each with a different optical response, and reassembles them into a single image with an improved resolution that can approach[Figure not available: see fulltext.] times the photodetector-array sampling lattice. Our goals are to optimize the performance of this process in terms of the resolution and fidelity of the restored image and to assess the amount of information required to do so. The theoretical approach is based on the extension of both image restoration and rate distortion theories from their traditional realm of signal processing to image processing which includes image gathering and display.

Original languageEnglish (US)
Pages (from-to)189-210
Number of pages22
JournalMultidimensional Systems and Signal Processing
Volume3
Issue number2-3
DOIs
StatePublished - May 1992

Keywords

  • Multiresponse imaging
  • fidelity
  • information theory
  • restoration
  • sub-sample resolution

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Artificial Intelligence
  • Applied Mathematics

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