Paper Info
Title
Multiscale directional AM-FM demodulation of images using a 2D optimized method
Abstract
We present an improved and optimized formulation for the estimation of the multiscale amplitude-modulation frequency-modulation (AM-FM) estimates when (i) non-separable filters are used and (ii) the variable spacing, local linear phase method is used. Also, we introduce the use of multiscale directional filterbanks for the feature extraction of images. Recently, AM-FM methods have shown promising results in a variety of medical image analysis applications. The 2D optimized AM-FM demodulation described here presents advantages for feature extraction at different frequency scales and orientations that can be used to detect different patterns, directions, or structures in an image. We test the new formulation using a Gaussian amplitude-modulated Quadratic frequency-modulated synthetic image and natural images. The results show that the optimized estimation produces better results, up to 4.9 times for the IF estimation and in 3 orders of magnitude for the IA estimation, for noise-free signals compared to the state-of-the-art methods.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6116169
Image Processing
Keywords
Field
DocType
Gaussian processes,amplitude modulation,demodulation,feature extraction,frequency modulation,image processing,natural scenes,2D optimized AM-FM demodulation,2D optimized method,Gaussian amplitude-modulated quadratic frequency-modulated synthetic image,feature extraction,local linear phase method,medical image analysis,multiscale amplitude-modulation frequency-modulation estimates,multiscale directional AM-FM demodulation,multiscale directional filterbanks,natural images,nonseparable filters,variable spacing,amplitude-modulation frequency-modulation (AM-FM),multi-scale analysis
Linear phase,Computer vision,Demodulation,Pattern recognition,Computer science,Image processing,AM/FM/GIS,Feature extraction,Gaussian,Gaussian process,Artificial intelligence,Amplitude modulation
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4577-1302-6
978-1-4577-1302-6
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
V. Murray119716.47
Marios S. Pattichis234149.71
Peter Soliz310425.51