DocumentCode
3313272
Title
Study on JPEG2000 Optimized Compression Algorithm for Remote Sensing Image
Author
Liang, Lu ; Shujun, Deng
Author_Institution
Sci. Inst., Inf. Eng. Univ., Zhengzhou
Volume
2
fYear
2009
fDate
25-26 April 2009
Firstpage
771
Lastpage
775
Abstract
Because of the higher resolution, the data volume of remote sensing image is very large. To communicate and use them on network, efficient compression is very important. Based on the frame of conventional JPEG2000 compression, this paper puts forward a kind of modified compression algorithm aiming at characteristics that the correlation of remote sensing image is lower than common images. The core of modified algorithm includes two aspects: one aspect is to eliminate and segment treatment the unimportant background information of wavelet coefficient in high frequency sub-bands after wavelet transformations; the other aspect is to combine the scanning process of coding passes in EBCOT coding. The experiment proves that this optimal algorithm can significantly improve the compression ratio of remote sensing image hardly influencing the quality of remote sensing image and shorten the compression time of remote sensing image.
Keywords
block codes; correlation methods; data compression; geophysical signal processing; image coding; image resolution; remote sensing; wavelet transforms; EBCOT coding; JPEG2000 optimized compression algorithm; correlation method; image resolution; remote sensing image; scanning process; wavelet coefficient; wavelet transformation; Compression algorithms; Discrete wavelet transforms; Filters; Frequency; Image coding; Image resolution; Quantization; Remote sensing; Space technology; Transform coding; DWT; EBCOT; JPEG2000; remote sensing image;
fLanguage
English
Publisher
ieee
Conference_Titel
Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-1-4244-4223-2
Type
conf
DOI
10.1109/NSWCTC.2009.203
Filename
4908583
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