Compression of Color-Mapped Images

Andrew C. Hadenfeldt; Khalid Sayood

doi:10.1109/36.297972

Compression of Color-Mapped Images

Andrew C. Hadenfeldt, Khalid Sayood

Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

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 language	English (US)
Pages (from-to)	534-541
Number of pages	8
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	32
Issue number	3
DOIs	https://doi.org/10.1109/36.297972
State	Published - May 1994

ASJC Scopus subject areas

Electrical and Electronic Engineering
General Earth and Planetary Sciences

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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.",

author = "Hadenfeldt, {Andrew C.} and Khalid Sayood",

note = "Funding Information: Manuscript received January 3, 1994. This work was supported in part by the NASA Goddard Space Flight Center under Grant NAG 5-1612 and by the NASA Lewis Research Center under Grant NAG 3-806. A. C. Hadenfeldt is with the University of Nebraska Medical Center, Omaha, NE 68198. K. Sayood is with the Department of Electrical Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588. IEEE Log Number 9402214.",

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Compression of Color-Mapped Images

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