Compression of color-mapped images

Author

Hadenfeldt, Andrew C. ; Sayood, Khalid

Author_Institution

Med. Center, Nebraska Univ., Omaha, NE, USA

Volume

32

Issue

3

fYear

1994

fDate

5/1/1994 12:00:00 AM

Firstpage

534

Lastpage

541

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

Keywords

data compression; geophysical techniques; geophysics computing; image coding; remote sensing; color mapped image; data compression; geophysical technique measurement; image coding; image colour; image processing; land surface remote sensing; lossless compression; lossy compression algorithm; multispectral method; optical imaging; progressive transmission algorithm; pseudo-color image; Color; Compression algorithms; Computer displays; Image coding; Image generation; Image restoration; Image storage; NASA; Pixel; Sorting;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/36.297972

Filename

297972