Multichannel Image Recovery

Nikolas P. Galatsanos*, Miles N. Wernick, Aggelos K. Katsaggelos, Rafael Molina

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Scopus citations

Abstract

Multichannel images refer to collections of image channels that are not identical but exhibit strong between-channel correlations. Image recovery refers to the computation of an image from observed data that alone do not uniquely define the desired image. Important examples are image denoising, image deblurring, decoding of compressed images, and medical image reconstruction. This chapter focuses on the problem of image recovery as it applies specifically to multichannel images. It presents the multichannel observation model and reviews basic image recovery approaches. It also describes the explicit approach and illustrates it using an example of restoration of video image sequences. Further, the implicit approach is explained and is illustrated using an example of the reconstruction of time-varying medical images.

Original languageEnglish (US)
Title of host publicationHandbook of Image and Video Processing
PublisherElsevier Inc
Pages203-217
Number of pages15
ISBN (Print)9780121197926
DOIs
StatePublished - 2005

ASJC Scopus subject areas

  • Computer Science(all)

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