DocumentCode :
3379709
Title :
AM-FM Image Analysis Using the Hilbert Huang Transform
Author :
Tay, Peter C.
Author_Institution :
Dept. of Eng. & Technol., Western Carolina Univ. Cullowhee, Cullowhee, NC
fYear :
2008
fDate :
24-26 March 2008
Firstpage :
13
Lastpage :
16
Abstract :
This paper explores the incorporation of the two dimensional (2D) empirical mode decomposition, which is used in the Hilbert-Huang Transform, into a meaningful AM-FM image model framework. A virtue of the empirical mode decomposition is that it decomposes a non-stationary signal into stationary intrinsic mode functions and a residue signal. The empirical mode decomposition attempts to produce intrinsic mode functions that are stationary and a residue function that is dominated by piecewise monotonic functions. When considering image pixel values as produced from a non-stationary process, the 2D empirical mode decomposition shows promise as a precursor step in determining AM-FM components where stationarity is needed.
Keywords :
Hilbert transforms; amplitude modulation; frequency modulation; image processing; AM-FM image analysis; Hilbert Huang transform; piecewise monotonic functions; residue signal; stationary intrinsic mode functions; two dimensional empirical mode decomposition; Digital images; Filter bank; Frequency estimation; Frequency modulation; Image analysis; Image reconstruction; Interpolation; Pixel; Signal processing; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 2008. SSIAI 2008. IEEE Southwest Symposium on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-1-4244-2296-8
Electronic_ISBN :
978-1-4244-2297-5
Type :
conf
DOI :
10.1109/SSIAI.2008.4512273
Filename :
4512273
Link To Document :
بازگشت