DocumentCode :
629372
Title :
A new complex-value SAR image compression method
Author :
Zhen Tan ; Junfeng Wang ; Xingzhao Liu ; Kaizhi Wang
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
3-5 April 2013
Firstpage :
644
Lastpage :
647
Abstract :
A new algorithm for complex-valued SAR images compression is proposed in this paper. A complex-valued SAR image consists of a magnitude part and a phase part, and in this paper the two parts are compressed separately. For the magnitude part, it is compressed by JPGE2000 algorithm, while for the phase part, it is compressed by the proposed adaptive quantization method. The phase quantization is adaptive to the size of the corresponding magnitude value. Simulation results show that the new method can provide better compression performance than transform domain methods, and it can significantly reduce the mean square error than uniform quantization method.
Keywords :
image coding; mean square error methods; quantisation (signal); radar imaging; synthetic aperture radar; transforms; JPGE2000 algorithm; adaptive quantization method; complex-valued SAR images compression; compression performance; magnitude value; mean square error; phase quantization; transform domain method; uniform quantization method; Adaptive optics; Image coding; Optical imaging; Quantization (signal); Synthetic aperture radar; Transform coding; Transforms; adaptive quantization; complex-valued SAR image; image compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Signal Processing (ICCSP), 2013 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4673-4865-2
Type :
conf
DOI :
10.1109/iccsp.2013.6577134
Filename :
6577134
Link To Document :
بازگشت