NDLI: A Fast and Efficient Adaptive Threshold Rate Control Scheme for Remote Sensing Images

Content Provider	PubMed Central
Author	Chen, Xiao Xiaoqing, Xu
Copyright Year	2012
Abstract	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.
Related Links	http://dx.doi.org/10.1100/2012/691413
Starting Page	691413
File Format	PDF
ISSN	1537744X
e-ISSN	1537744X
Journal	The Scientific World Journal
Volume Number	2012
Language	English
Publisher	The Scientific World Journal
Publisher Date	2012-11-11
Access Restriction	Open
Rights Holder	The Scientific World Journal
Subject Keyword	Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Medicine Biochemistry, Genetics and Molecular Biology Environmental Science

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