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Simultaneous image fusion and demosaicing via compressive sensing

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成果类型:
期刊论文
作者:
Yang, Bin*;Luo, Jie;Guo, Ling;Cheng, Fang
通讯作者:
Yang, Bin
作者机构:
[Luo, Jie; Yang, Bin; Cheng, Fang; Guo, Ling] South China Univ, Coll Elect & Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Yang, Bin] S
South China Univ, Coll Elect & Engn, Hengyang 421001, Peoples R China.
语种:
英文
关键词:
Demosaicing;Image fusion;Software design and implementation
期刊:
Information Processing Letters
ISSN:
0020-0190
年:
2016
卷:
116
期:
7
页码:
447-454
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61102108, 11247214, YB20138039, 61172161]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [11C1101, 12A115]; construct program of key disciplines in USC [NHXK04]
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, a compressive sensing based simultaneous fusion and demosaicing method for raw data of single-chip imaging camera is introduced. In order to meet the incoherence constraints of compressive sensing theory, the popular Bayer CFA is replaced with a random panchromatic color filter array. Then, the demosaicing problem is cast as an ill-posed inverse problem inherently and the compressive sensing technology is employed to solve the inverse problem. The restored sparse coefficients of different images are further fused with ℓ1-norm of...

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