DocumentCode :
1889386
Title :
A new fractal coder for SAR imagery with high frequency energy matching
Author :
Deyuan, Chen ; Enjie, Luan ; Guofang, Tu
Author_Institution :
Sch. of Inf. Sci. & Eng., Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
10-12 Nov. 2008
Firstpage :
680
Lastpage :
683
Abstract :
A new fractal image compression algorithm based on high frequency energy (HFE) partitioning and matched domain block searching is proposed for SAR imagery coding. The proposed coder uses a new criterion to partition image and a novel method to search the matched domain block for each range block to code the low frequency component of the transformed SAR image by wavelet. Peak signal-to-noise ratio (PSNR), encoding time and subjective visual assessment were used to evaluate the performance of the proposed coder. Simulation experiment results show that the proposed coder outperforms the traditional fractal coders.
Keywords :
fractals; image coding; performance evaluation; radar imaging; synthetic aperture radar; SAR imagery coding; encoding time; fractal coder; fractal image compression algorithm; high frequency energy matching; high frequency energy partitioning; matched domain block searching; partition image; peak signal-to-noise ratio; performance evaluation; visual assessment; Base stations; Fractals; Frequency; Image coding; Information science; PSNR; Partitioning algorithms; Power engineering and energy; Synthetic aperture radar; Wavelet domain; Synthetic aperture radar; fractal image compression; high frequency energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2250-0
Electronic_ISBN :
978-1-4244-2251-7
Type :
conf
DOI :
10.1109/ICCT.2008.4716198
Filename :
4716198
Link To Document :
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