Title :
Compression of color-mapped images
Author :
Hadenfeldt, Andrew C. ; Sayood, Khalid
Author_Institution :
Med. Center, Nebraska Univ., Omaha, NE, USA
fDate :
5/1/1994 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on