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 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.
Department of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, Pakistan.
Amina
A
Jameel
Department of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, Pakistan.
Abdul
0000-0002-6117-3656
A
Ghafoor
Center for Advanced Studies in Telecommunication (CAST), COMSATS Institute of Information Technology, Islamabad, Pakistan.
Muhammad Mohsin
0000-0002-7540-1314
MM
Riaz
D003627:Data Interpretation, Statistical; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D059629:Signal-To-Noise Ratio; D014055:Tomography, Emission-Computed / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*