Literature DB >> 29990190

Robust Multi-Focus Image Fusion Using Edge Model and Multi-Matting.

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Abstract

An effective multi-focus image fusion method is proposed to generate an all-in-focus image with all objects in focus by merging multiple images. The proposed method first estimates focus maps using a novel combination of edge model and a traditional block-based focus measure. Then, a propagation process is conducted to obtain accurate weight maps based on a novel multi-matting model that makes full use of the spatial information. The fused all-in-focus image is finally generated based on a weighted-sum strategy. Experimental results demonstrate that the proposed method has state-of-the-art performance for multi-focus image fusion under various situations encountered in practice, even in cases with obvious misregistration.

Year:  2017        PMID: 29990190     DOI: 10.1109/TIP.2017.2779274

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

1.  Hybrid Sharpening Transformation Approach for Multifocus Image Fusion Using Medical and Nonmedical Images.

Authors:  Sarwar Shah Khan; Muzammil Khan; Yasser Alharbi; Usman Haider; Kifayat Ullah; Shahab Haider
Journal:  J Healthc Eng       Date:  2021-12-11       Impact factor: 2.682

2.  Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain.

Authors:  Hongmei Wang
Journal:  PLoS One       Date:  2018-09-20       Impact factor: 3.240

  2 in total

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