Improved Guided Image Fusion for Magnetic Resonance and Computed Tomography Imaging

被引：14

作者：

Jameel, Amina ^{[1
]}

Ghafoor, Abdul ^{[1
]}

Riaz, Muhammad Mohsin ^{[2
]}

机构：

[1] NUST, Dept Elect Engn, Coll Signals, Islamabad 46000, Pakistan

[2] COMSATS Inst Informat Technol, CAST, Islamabad, Pakistan

来源：

SCIENTIFIC WORLD JOURNAL | 2014年

关键词：

PERFORMANCE; INFORMATION;

D O I：

10.1155/2014/695752

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：7

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