Title :
MODIS image compression based on JPEG2000
Author :
Zhang, Hui ; Ai, Wei-hua ; Shen, Chao-ling
Author_Institution :
Inst. of Meteorol., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
Data compression is used operationally to reduce bandwidth and storage requirements. JPEG2000 is the famous compression standard for still image coding. A study is presented for the lossless and lossy compression of MODIS image based on JPEG2000. We introduced the characteristic of MODIS data firstly and used some compression methods for the data. Experiments showed for lossless compression JPEG2000 outperforms the universal compression software WINZIP and for lossy compression JPEG2000 with the non-reversible filter outperforms all other algorithms at all bitrate.
Keywords :
data compression; filtering theory; image coding; wavelet transforms; MODIS image compression; data compression; integer wavelet; lossless compression JPEG2000; lossy compression JPEG2000; moderate resolution imaging spectro-radiometer; nonreversible filter; software WINZIP; Earth Observing System; Image coding; Image storage; Infrared spectra; Instruments; MODIS; Multispectral imaging; Pulse modulation; Spatial resolution; Transform coding; Image Compression; Integer Wavelet; JPEG2000; MODIS image;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228126
