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

fYear

2009

fDate

25-28 July 2009

Firstpage

732

Lastpage

734

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCSE.2009.5228126

Filename

5228126