Hyperspectral image restoration and coding

Michael Larsen, Tamal Bose, Anand Venkatachalam

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Hyperspectral images consists of the same image taken in different spectral bands. These images exhibit high correlation between the pixels in both the spatial and spectral dimensions. It is desirable to design a filter that takes advantage of this property. In this paper, we implement an image restoration system and a coding system using a multidimensional filter. The image restoration system restores the lost samples and removes the additive noise using the least mean square(LMS) algorithm. For the hyperspectral image coding we use the adaptive differential pulse code modulation (ADPCM) to achieve high compression of the image cube. Experimental results are very promising and illustrate the performance of the multidimensional filter.

Original languageEnglish (US)
Pages (from-to)1740-1744
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
DOIs
StatePublished - Jan 1 2002
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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