A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-11
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
The JPEG2000 image compression standard is ideal for processing remote sensing images.
However, its algorithm is complex and it requires large amounts of memory, making it difficult to adapt to the limited transmission and storage resources necessary for remote sensing images.
In the present study, an improved rate control algorithm for remote sensing images is proposed.
The required coded blocks are sorted downward according to their numbers of bit planes prior to entropy coding.
An adaptive threshold computed from the combination of the minimum number of bit planes, along with the minimum rate-distortion slope and the compression ratio, is used to truncate passes of each code block during Tier-1 encoding.
This routine avoids the encoding of all code passes and improves the coding efficiency.
The simulation results show that the computational cost and working buffer memory size of the proposed algorithm reach only 18.13 and 7.81%, respectively, of the same parameters in the postcompression rate distortion algorithm, while the peak signal-to-noise ratio across the images remains almost the same.
The proposed algorithm not only greatly reduces the code complexity and buffer requirements but also maintains the image quality.
American Psychological Association (APA)
Chen, Xiao& Xu, Xiaoqing. 2012. A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-490909
Modern Language Association (MLA)
Chen, Xiao& Xu, Xiaoqing. A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images. The Scientific World Journal No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-490909
American Medical Association (AMA)
Chen, Xiao& Xu, Xiaoqing. A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-490909
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-490909