Title :
Compression method for real-time systems of remote sensing
Author :
Gashnikov, M. ; Glumov, N. ; Sergeyev, V.
Abstract :
In this paper the method of image compression is presented. It is designed for data processing in real-time systems of remote sensing. In the midpoint there are compression algorithm based on component transformation with pixel interpolation and algorithm of stabilization of encoded image forming speed, which provide high compression ratio, stable speed of an output data flow and controlled error of image reconstruction
Keywords :
data compression; image coding; image reconstruction; interpolation; real-time systems; remote sensing; compression algorithm; compression ratio; data processing; encoded image forming speed stabilization; image compression; image reconstruction; pixel interpolation; real-time systems; remote sensing; stable speed; Compression algorithms; Data processing; Error correction; Image coding; Image reconstruction; Interpolation; Pixel; Process design; Real time systems; Remote sensing;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.903527