Reversible inter-frame compression of multispectral images based on a previous-closest-neighbor prediction

Author

Aiazzi, B. ; Alba, P.S. ; Alparone, L. ; Baronti, S. ; Guamieri, P.

Author_Institution

Istituto di Ricerca sulle Onde Elettromagnetiche, CNR, Firenze, Italy

Volume

1

fYear

1996

fDate

27-31 May 1996

Firstpage

460

Abstract

Previous closest neighbor (PCN) prediction has prevously been proposed for lossless data compression of multispectral images, in order to take advantage of inter-band data correlation. The basic idea to predict the value of the current pixel in the current band on the basis of the best zero-order predictor on the previously coded band, has been applied by extending the set of predictors to those adopted by lossless JPEG. Performances increase more than 5% when passing from the original set of predictors to the extended set

Keywords

correlation methods; data compression; geophysical signal processing; image coding; prediction theory; remote sensing; best zero-order predictor; inter-band data correlation; lossless data compression; multispectral images; previous-closest-neighbor prediction; reversible inter-frame compression; Availability; Data compression; Facsimile; Image coding; Multispectral imaging; Personal communication networks; Pixel; Pulse modulation; Remote sensing; 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.1996.516373

Filename

516373