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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| _version_ | 1849407101486497792 |
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| author | Amina Jameel Abdul Ghafoor Muhammad Mohsin Riaz |
| author_facet | Amina Jameel Abdul Ghafoor Muhammad Mohsin Riaz |
| author_sort | Amina Jameel |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-458a08f00a134c07aecf6f9da950557e |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-458a08f00a134c07aecf6f9da950557e2025-08-20T03:36:11ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/695752695752Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography ImagingAmina Jameel0Abdul Ghafoor1Muhammad Mohsin Riaz2Department of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, PakistanDepartment of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, PakistanCenter for Advanced Studies in Telecommunication (CAST), COMSATS Institute of Information Technology, Islamabad, PakistanImproved 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.http://dx.doi.org/10.1155/2014/695752 |
| spellingShingle | Amina Jameel Abdul Ghafoor Muhammad Mohsin Riaz Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging The Scientific World Journal |
| title | Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging |
| title_full | Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging |
| title_fullStr | Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging |
| title_full_unstemmed | Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging |
| title_short | Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging |
| title_sort | improved guided image fusion for magnetic resonance and computed tomography imaging |
| url | http://dx.doi.org/10.1155/2014/695752 |
| work_keys_str_mv | AT aminajameel improvedguidedimagefusionformagneticresonanceandcomputedtomographyimaging AT abdulghafoor improvedguidedimagefusionformagneticresonanceandcomputedtomographyimaging AT muhammadmohsinriaz improvedguidedimagefusionformagneticresonanceandcomputedtomographyimaging |