DocumentCode :
3491590
Title :
Quality evaluation of progressive lossy-to-lossless remote-sensing image coding
Author :
Blanes, Ian ; Serra-Sagrista, J.
Author_Institution :
Dept. of Inf. & Commun. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
3709
Lastpage :
3712
Abstract :
Progressive lossy-to-lossless methods for hyper-spectral image coding are becoming common in remote-sensing. However, as remote-sensing imagery is sometimes fed directly into an automated process, there are several alternative distortion measures directed to quantify the image quality with regard to how this process will perform. In this scenario, we investigate the quality evolution in the lossy regime of progressive lossy-to-lossless and perform a detailed evaluation.
Keywords :
image coding; remote sensing; hyper-spectral image coding; image quality; progressive lossy-to-lossless methods; quality evaluation; remote-sensing image coding; Bit rate; Data mining; Distortion measurement; Encoding; Image coding; Image quality; Performance evaluation; Phase locked loops; Remote sensing; Wavelet transforms; Hyper-spectral image coding; multicomponent JPEG2000; progressive lossy-to-lossless; quality evaluation; remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5414283
Filename :
5414283
Link To Document :
بازگشت