Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging
Improved guided image fusion for magnetic resonance and computed tomography imaging is proposed. Existing guided filtering scheme uses Gaussian filter and two-level weight maps due to which the scheme has limited performance for images having noise. Different modifications in filter (based on linea...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/695752 |
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| Summary: | Improved guided image fusion for magnetic resonance and computed tomography imaging is proposed.
Existing guided filtering scheme uses Gaussian filter and two-level weight maps due to which
the scheme has limited performance for images having noise. Different modifications in filter (based
on linear minimum mean square error estimator) and weight maps (with different levels) are proposed
to overcome these limitations. Simulation results based on visual and quantitative analysis show the
significance of proposed scheme. |
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| ISSN: | 2356-6140 1537-744X |