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Image fusion using blur estimation

Seyfollah Soleimani, Filip Rooms UGent, Wilfried Philips UGent and Linda Tessens UGent (2010) IEEE International Conference on Image Processing ICIP. p.4397-4400
abstract
In this paper, a new wavelet based image fusion method is proposed. In this method, the blur levels of the edge points are estimated for every slice in the stack of images. Then from corresponding edge points in different slices, the sharpest one is brought to the final image and others are eliminated. The intensities of non-edge pixels are assigned by the slice of its nearest neighbor edge. Results are promising and outperform other methods in most cases of the tested methods.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
wavelet transform, image fusion, local maxima, blur estimation
in
IEEE International Conference on Image Processing ICIP
issue title
2010 IEEE international conference on image processing
pages
4397 - 4400
publisher
IEEE
place of publication
New York, NY, USA
conference name
2010 IEEE 17th International conference on Image Processing (ICIP 2010)
conference location
Hong Kong, PR China
conference start
2010-09-26
conference end
2010-09-29
Web of Science type
Proceedings Paper
Web of Science id
000287728004110
ISBN
9781424479931
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
1053437
handle
http://hdl.handle.net/1854/LU-1053437
date created
2010-10-05 12:09:52
date last changed
2017-01-02 09:52:19
@inproceedings{1053437,
  abstract     = {In this paper, a new wavelet based image fusion method is proposed. In this method, the blur levels of the edge points are estimated for every slice in the stack of images. Then from corresponding edge points in different slices, the sharpest one is brought to the final image and others are eliminated. The intensities of non-edge pixels are assigned by the slice of its nearest neighbor edge. Results are promising and outperform other methods in most cases of the tested methods.},
  author       = {Soleimani, Seyfollah and Rooms, Filip and Philips, Wilfried and Tessens, Linda},
  booktitle    = {IEEE International Conference on Image Processing ICIP},
  isbn         = {9781424479931},
  keyword      = {wavelet transform,image fusion,local maxima,blur estimation},
  language     = {eng},
  location     = {Hong Kong, PR China},
  pages        = {4397--4400},
  publisher    = {IEEE},
  title        = {Image fusion using blur estimation},
  year         = {2010},
}

Chicago
Soleimani, Seyfollah, Filip Rooms, Wilfried Philips, and Linda Tessens. 2010. “Image Fusion Using Blur Estimation.” In IEEE International Conference on Image Processing ICIP, 4397–4400. New York, NY, USA: IEEE.
APA
Soleimani, S., Rooms, F., Philips, W., & Tessens, L. (2010). Image fusion using blur estimation. IEEE International Conference on Image Processing ICIP (pp. 4397–4400). Presented at the 2010 IEEE 17th International conference on Image Processing (ICIP 2010), New York, NY, USA: IEEE.
Vancouver
1.
Soleimani S, Rooms F, Philips W, Tessens L. Image fusion using blur estimation. IEEE International Conference on Image Processing ICIP. New York, NY, USA: IEEE; 2010. p. 4397–400.
MLA
Soleimani, Seyfollah, Filip Rooms, Wilfried Philips, et al. “Image Fusion Using Blur Estimation.” IEEE International Conference on Image Processing ICIP. New York, NY, USA: IEEE, 2010. 4397–4400. Print.