Near lossless transform coding of multispectral images

Author

Tescher, Andrew G. ; Reagan, John T. ; Saghri, J.A.

Author_Institution

Lockheed Martin Corp., Palo Alto, CA, USA

Volume

2

fYear

1996

fDate

27-31 May 1996

Firstpage

1020

Abstract

The authors have extended the previously developed adaptive transform coding based multispectral algorithm for the lossless/virtually lossless case. Preliminary results are encouraging compared with traditional lossless implementation. The primary technical challenge is to compensate for the quantization errors introduced in processing the high dynamic range eigen images

Keywords

adaptive signal processing; data compression; geophysical signal processing; geophysical techniques; image coding; optical information processing; remote sensing; transform coding; adaptive transform coding; geophysical measurement technique; high dynamic range eigen image; image coding; image processing; land surface; lossless transform coding; multidimensional signal processing; multispectral algorithm; multispectral image; optical imaging; quantization error; remote sensing; terrain mapping; Adaptive systems; Algorithm design and analysis; Decorrelation; Dynamic range; Image coding; Multispectral imaging; Performance loss; Quantization; Redundancy; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516553

Filename

516553