Paper Info
Title
An enhanced Empirical Mode Decomposition based method for image enhancement.
Abstract
In this paper, a new extension of Bidimensional Empirical Mode Decomposition (BEMD) based on the median filtering is presented. The new scheme is compared with the traditional Empirical Mode Decomposition (EMD) and Fast and Adaptive Bidimensional EMD (FABEMD) techniques. The new scheme manifests to be superior to both of them in image enhancement and particularly in edge enhancement. The comparison is performed, objectively, using the measure of enhancement (EME) and also visually. Furthermore, we show that by applying different thresholds in stopping condition for each Intrinsic Mode Function (IMF), we can derive more accurate IMFs.
Year
DOI
Venue
2011
10.1109/ICSMC.2011.6084077
SMC
Keywords
Field
DocType
edge detection,image enhancement,median filters,smoothing methods,source separation,bidimensional empirical mode decomposition,edge enhancement,enhancement measure,envelope smoothing,image enhancement,intrinsic mode function,median filtering,stopping condition,BEMD,EMD,Edge Enhancement,FABEMD,Mode Mixing
Iterative reconstruction,Median filter,Pattern recognition,Computer science,Edge detection,Interpolation,Filter (signal processing),Artificial intelligence,Source separation,Edge enhancement,Hilbert–Huang transform
Conference
ISSN
Citations 
PageRank 
1062-922X
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Somayeh Bakhtiari101.01
Sos S. Agaian274483.01
Mo Jamshidi328952.89