DocumentCode :
534994
Title :
The research of a new auto target recognition directed image compression
Author :
Song, Yanxing ; Yuan, Feng
Author_Institution :
Dept. of Disaster Prevention Instrum., Inst. of Disaster Prevention, Sanhe, China
Volume :
1
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
224
Lastpage :
228
Abstract :
An improving auto target recognition directed (IATR-Directed) image compression algorithm based on the traditional auto target recognition directed (ATR-Directed) image compression was presented. The algorithm decomposed an image by morphology Haar wavelet, then used morphological region of interest (ROI) detection operator to find the targets ROI, by which partitioned the low-frequency morphological wavelet coefficients into three coding map, at last, chose the adaptive arithmetic coding method to code different coding map. Extensive experiments has shown that IATR-Directed image compression could compress the image with simple operations, and can save the information of the targets effectively, and it is very competitive compared with other methods.
Keywords :
data compression; image coding; image recognition; target tracking; wavelet transforms; auto target recognition; image compression; morphology Haar wavelet; region of interest detection; Encoding; Entropy; Image coding; Morphology; PSNR; Pixel; Signal processing algorithms; ATR-Directed; image coding; morphology Haar wavelet; region of interest;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5646343
Filename :
5646343
Link To Document :
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