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Multi-Focus Raw Bayer Pattern Image Fusion for Single-Chip Camera

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成果类型:
期刊论文
作者:
Yang, Bin*;Chen, Jibin
通讯作者:
Yang, Bin
作者机构:
[Yang, Bin] College of Electric Engineering, University of South China, Hengyang, China
[Chen, Jibin] College of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, China
通讯机构:
[Bin Yang] C
College of Electric Engineering, University of South China, Hengyang, China
语种:
英文
关键词:
Image fusion;Demosaicing;Clarity measurement;Bayer pattern
期刊:
Sensing and Imaging
ISSN:
1557-2064
年:
2015
卷:
16
期:
1
页码:
1-14
机构署名:
本校为第一且通讯机构
院系归属:
电气工程学院
摘要:
In this paper, an efficient patch-based image fusion approach for raw images of single-chip imaging devices incorporated with the Bayer CFA pattern is presented. The multi-source raw Bayer pattern images are firstly parted into half overlapped patches. Then, the patches with maximum clarity measurement defined for raw Bayer pattern image are selected as the fused patches. Next, all the fused local patches are merged with weighted average method in order to reduce the blockness effect of fused raw Bayer pattern image. Finally, the real color fused image is obtained by gradient based demosaicing...

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