Compression of Color-Mapped Images

Andrew C. Hadenfeldt, Khalid Sayood

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Multispectral data is often displayed and stored as a color-mapped or pseudo-color image. Pseudo-color is also used to enhance features in a single-band image. The use of pseudo-color tends to rearrange the structure in the image in such a way as to prevent efficient compression. This structure can be restored by sorting the color maps. Restoration of the structure increases the efficiency of lossless compression and permits the use of lossy compression algorithms. The latter benefit is especially useful for many progressive transmission algorithms.

Original languageEnglish (US)
Pages (from-to)534-541
Number of pages8
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume32
Issue number3
DOIs
StatePublished - May 1994

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compression
Color
Sorting
sorting
Restoration

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Earth and Planetary Sciences(all)

Cite this

Compression of Color-Mapped Images. / Hadenfeldt, Andrew C.; Sayood, Khalid.

In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 32, No. 3, 05.1994, p. 534-541.

Research output: Contribution to journalArticle

Hadenfeldt, Andrew C. ; Sayood, Khalid. / Compression of Color-Mapped Images. In: IEEE Transactions on Geoscience and Remote Sensing. 1994 ; Vol. 32, No. 3. pp. 534-541.
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