JPEG2000-Based Optimization Algorithm for Effective Compression Display of Remote Sensing Images

Article Preview

Abstract:

Taking the compression issue of remote sensing images as the study subject, this paper analyses the technical process for JPEG2000 compression and the image features of remote sensing images, natural images and figural images, and puts forwards an integrative optimization algorithm for effective compression display for remote sensing images based on common JPEG2000 compression frame. Thereinto, it includes high-frequency component filtering treatment, parallel processing of bit plane coding pass scanning and improved ROI coding algorithm, which give obvious clews to both overall consumed time for image compression and the gradual display effect in ROI region.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1602-1609

Citation:

Online since:

June 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Li Qiang, Wang Zhengzhi. The High-fidelity Compression Method Study of Remote Sensing Image Based on Wavelet Theory [J]. Journal of Remote Sensing. 1993,3 (1): 31 - 37.

Google Scholar

[2] Lu Liang The Compression Technique Research of Remote Sensing Based on JPEG2000. The PLA Information Engineering University. 2009.

Google Scholar

[3] Li Shuxiao, Lin Xin. JasPer Software: JPEG2000 Canonical Realization [J]. Microcomputer Applications, 2006, 27 (6): 754-756

Google Scholar

[4] Michael D. Adams, Jasper a Software-Based JPEG2000 Codec Implementation//Proc of IEEE International Conference on Image Processing Vancouver [sn]. 2000: 53-56

Google Scholar

[5] David S. Taubman, Michael W. Marcelin. JPEG2000 Image Compression Fundamentals, Standards and Practice. Translated by Wei Jiangli, Bai Zhengyao, et al, JPEG2000 Image Compression Fundamentals, Standards and Practice. Electronics Industry Press. 2004: 5-60

DOI: 10.1007/978-1-4615-0799-4_9

Google Scholar