Multi-focus image fusion using curvature minimization and morphological filtering

被引：1

作者：

Adeel, Hannan ^{[1
]}

Riaz, M. Mohsin ^{[2
]}

Bashir, Tariq ^{[2
]}

Ali, Syed Sohaib ^{[3
]}

Latif, Shahzad ^{[4
]}

机构：

[1] Hamdard Univ, Islamabad Campus,Pk Rd, Islamabad 45550, Pakistan

[2] COMSATS Univ, Pk Rd, Islamabad 45550, Pakistan

[3] Habib Univ, Karachi 75290, Pakistan

[4] Shaheed Zulfikar Ali Bhutto Inst Sci & Technol SZA, Islamabad 45550, Pakistan

来源：

MULTIMEDIA TOOLS AND APPLICATIONS | 2024年 / 83卷 / 32期

关键词：

Multi-focus; Image fusion; Curvature minimization; Morphological filtering; GENERATIVE ADVERSARIAL NETWORK; PERFORMANCE; CONSTRAINTS; INFORMATION;

D O I：

10.1007/s11042-024-18654-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multi-focus image fusion has wide applications in the field of computer vision. This research work presents a two-fold multi-focus image fusion framework in spatial domain. Firstly, the salient features of the focused regions in multi-focus images are detected using Gaussian curvature filter (GCF) and range filtering. The initial focus detection map is then refined using morphological filters. Experiments have shown that the proposed method is fast and robust when compared with latest multi-focus fusion schemes.

引用

页码：78625 / 78639

页数：15

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