DocumentCode :
468916
Title :
Image low frequency trend compression
Author :
Ge, Guang-tao ; Sang, En-fang ; Liu, Zhuo-fu ; Zhang, Zeng-zhe
Author_Institution :
Harbin Eng. Univ., Harbin
Volume :
1
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
174
Lastpage :
178
Abstract :
The residue of the bidimensional empirical mode decomposition (BEMD) is the digital image low frequency trend. A method special for the compression of this large scale bi-dimensional signal has been introduced in this paper. Several concepts was introduced, such as the first IMF, the first residue and the grid characteristic points. Represented by the grid characteristic points, several local mean surfaces were respectively compressed. Thus, the high quality restoration of the first residue surface (image) was got by adding the several reconstructed local mean surfaces together. Experiments prove that this novel method has obvious advantages on the issue of compressing the low frequency information of one digital image compared with the current methods.
Keywords :
data compression; image coding; image reconstruction; bidimensional empirical mode decomposition; grid characteristic points; image low frequency trend compression; large scale bi-dimensional signal; reconstructed local mean surfaces; Chromium; Digital images; Frequency; Image coding; Notice of Violation; Pattern analysis; Pattern recognition; Signal processing; Surface reconstruction; Wavelet analysis; Bidimensional Empirical Mode Decomposition; image compression; the first residue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4420658
Filename :
4420658
Link To Document :
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