IMAGE EMPIRICAL MODE DECOMPOSITION: A NEW TOOL FOR IMAGE PROCESSING
2009 ◽
Vol 01
(02)
◽
pp. 265-294
◽
Keyword(s):
Image empirical mode decomposition (IEMD) is an empirical mode decomposition concept used in Hilbert–Huang transform (HHT) expanded into two dimensions for the use on images. IEMD provides a tool for image processing by its special ability to locally separate superposed spatial frequencies. The tendency is that the intrinsic mode functions (IMFs) other than the first are low-frequency images. In this study we give an overview of the state-of-the-art methods to decompose an image into a number of IMFs and a residue image with a minimum number of extrema points, together with the use of the method. Ideas and open problems are presented.
2005 ◽
Vol 03
(03)
◽
pp. 435-452
◽
2011 ◽
Vol 255-260
◽
pp. 1671-1675
2014 ◽
Vol 31
(9)
◽
pp. 1982-1994
◽
2005 ◽
Vol 9
(3)
◽
pp. 127-137
◽
2011 ◽
Vol 03
(04)
◽
pp. 509-526
◽
2021 ◽
2012 ◽
Vol 518-523
◽
pp. 3887-3890
◽
2005 ◽
Vol 2
(1)
◽
pp. 289-318
◽
2013 ◽
Vol 303-306
◽
pp. 1035-1038