dc.contributor.author |
Maragos, P |
en |
dc.contributor.author |
Bovik, A |
en |
dc.date.accessioned |
2014-03-01T02:48:13Z |
|
dc.date.available |
2014-03-01T02:48:13Z |
|
dc.date.issued |
1994 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33644 |
|
dc.subject |
Bandpass Filter |
en |
dc.subject |
Computer Vision |
en |
dc.subject |
Frequency Modulated |
en |
dc.subject |
gabor filter |
en |
dc.subject |
Image Modeling |
en |
dc.subject |
Image Texture |
en |
dc.subject |
Image Texture Analysis |
en |
dc.subject |
Instantaneous Frequency |
en |
dc.subject |
Spatial Frequency |
en |
dc.title |
Demodulation of Images Modeled by Amplitude-Frequency Modulations Using Multidimensional Energy Separation |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ICIP.1994.413772 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ICIP.1994.413772 |
en |
heal.publicationDate |
1994 |
en |
heal.abstract |
Locally narrowband images can be modeled as 2D spatial AM-FM signals with several applications in image texture analysis and computer vision. In this paper we formulate such an image demodulation problem, and present a solution based on the multidimensional energy operator Φ(f)=||∇f||2-f∇2f. We discuss some interesting properties of this multidimensional operator and develop multidimensional energy separation algorithms to estimate the |
en |
heal.journalName |
International Conference on Image Processing |
en |
dc.identifier.doi |
10.1109/ICIP.1994.413772 |
en |