NDLI: A specialized compression method for pavement management system image

Content Provider	IEEE Xplore Digital Library
Author	Chen Geng
Copyright Year	2011
Description	Author affiliation: Electrical Engineering Department, Harbin Institute of Technology (HIT), Harbin, China (Chen Geng)
Abstract	With the development of the pavement management system (PMS), the amount of the acquired and transmitted date is getting much larger [1][2]. Regard this, a compression method is needed for data analyzing. As there are lots of differences between the image of PMS and general image in the luminance distribution and the useful information region, general compression methods can not fit the special compression requirement of the PMS image. Although the PMS develops rapidly, the relevant image compression has little significant study. Based on Huffman coding and edge detection, this paper provides an efficient compression method, which can reserve all the useful information of the original image. The preliminary results show that the compression ration is higher than IS, which means it can work for the PMS.
Starting Page	1928
Ending Page	1931
File Size	271567
Page Count	4
File Format	PDF
ISBN	9781424481620
e-ISBN	9781424481651
DOI	10.1109/ICECENG.2011.6057460
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Image segmentation Image coding Image edge detection Huffman code PMS Image compression Huffman coding
Content Type	Text
Resource Type	Article

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