Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform-Reference-Cited by-同舟云学术

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Multi-focus image fusion based on dynamic threshold neural P systems and surfacelet transform

Published:2020-05 Issue: Volume:196 Page:105794
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Bo,Peng Hong,Wang Jun,Huang Xiangnian

Funder

Research Fund of Sichuan Science and Technology Project, China

Research Foundation of the Education Department of Sichuanprovince, China

Innovation Fund of Postgraduate, Xihua University, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference67 articles.

1. A survey on region based image fusion methods;Meher;Inf. Fusion,2019

2. Image Fusion: Algorithms and Applications;Stathaki,2011

3. Image fusion with guided filtering;Li;IEEE Trans. Image Process.,2013

4. Multi-focus image fusion with dense SIFT;Liu;Inf. Fusion,2015

5. Multi-focus image fusion using a morphology-based focus measure in a quad-tree structure;De;Inf. Fusion,2013

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