Zu diesem lizenzpflichtigen Artikel gibt es eine Open Access Version, die kostenlos und ohne Lizenzbeschränkung gelesen werden kann. Die Open Access Version kann inhaltlich von der lizenzpflichtigen Version abweichen.
Preisinformation
Bitte wählen Sie ihr Lieferland und ihre Kundengruppe
The vast quantities and high generation rates of tactical imagery require very efficient data compression in order to conserve precious bandwidth for transmission and to limit the required storage volume for archiving. This paper describes the results of efficiency and image quality comparisons for several transform image coding techniques. Specifically, the research effort was focused on developing the Singular Value Decomposition (SVD) as an approach to image compression. Detailed comparisons were made to the two-dimensional cosine transform, Hadamard transform and Karhunen-Loeve techniques.