Shift-invariant discrete wavelet transform-based sparse fusion of medical images

被引：1

作者：

Ch, M. Munawwar Iqbal ^{[1
]}

Riaz, M. Mohsin ^{[2
]}

Iltaf, Naima ^{[3
]}

Ghafoor, Abdul ^{[3
]}

Saghir, Nuwayrah Jawaid ^{[4
,5
]}

机构：

[1] Quaid i Azam Univ, Islamabad, Pakistan

[2] COMSATS Univ, Islamabad, Pakistan

[3] Natl Univ Sci & Technol NUST, Islamabad, Pakistan

[4] Fdn Univ Med Coll, Rawalpindi, Pakistan

[5] Fauji Fdn Hosp, Rawalpindi, Pakistan

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2023年 / 17卷 / 04期

关键词：

Shift-invariant transform; Sparse fusion; Medical image fusion; Weight map; GENERAL FRAMEWORK; MRI;

D O I：

10.1007/s11760-021-01998-z

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this work, the idea of using shift-invariant discrete wavelet transform and sparse fusion-based magnetic resonance and computed tomography image fusion technique is presented. Source images from different modalities are split into different scale components along with high-level components using shift-invariant discrete wavelet transform. Approximation components are fused using sparse fusion. Different computed weights are joined to be used with source images to get the required fused image as output. Metrics-based visual and quantitative results clearly indicate the worth of proposed new approach in comparison with other existing fusion strategies.

引用

页码：881 / 889

页数：9

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