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Multi-focus Image Fusion with Cooperative Image Multiscale Decomposition

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成果类型:
会议论文
作者:
Tan Y.;Yang B.
作者机构:
College of Electric Engineering, University of South China, Hengyang, CO 421001, China
语种:
英文
关键词:
Image enhancement;Image fusion;Lenses;Optical data processing;Cooperative image multiscale decomposition;Depth-of-focus;Focus region detection;Fusion strategies;Guided filters;Multi-scale Decomposition;Multifocus image fusion;Mutually-guided filter;Region detection;Two sources;Iterative methods
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2021
卷:
13021 LNCS
页码:
177-188
会议名称:
4th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2021
会议时间:
29 October 2021 through 1 November 2021
出版者:
Springer Science and Business Media Deutschland GmbH
ISBN:
9783030880095
基金类别:
Acknowledgments. This paper is supported by the National Natural Science Foundation of China (No.61871210) and Chuanshan Talent Project of the University of South China.
机构署名:
本校为第一机构
院系归属:
电气工程学院
摘要:
Multi-focus image fusion plays an important role in the field of image processing for its ability in solving the depth-of-focus limitation problem in optical lens imaging by fusing a series of partially focused images of the same scene. The improvements on various fusion methods focus on the image decomposition methods and the fusion strategies. However, most decompositions are separately conducted on each image, which fails to sufficiently consider the nature of multiple images in fusion tasks, and insufficiently explores the consistent and in...

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