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Image fusion using blur estimation

Seyfollah Soleimani (UGent) , Filip Rooms (UGent) , Wilfried Philips (UGent) and Linda Tessens (UGent)
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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.
Keywords
wavelet transform, image fusion, local maxima, blur estimation

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Citation

Please use this url to cite or link to this publication:

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.
@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},
}

Web of Science
Times cited: