中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm

文献类型:期刊论文

作者Li, Fangbiao; He, Xin; Wei, Zhonghui; Mu, Zhiya; Li, Muyu
刊名Journal of Beijing Institute of Technology (English Edition)
出版日期2018
卷号27期号:2页码:237-240
关键词Image reconstruction Image enhancement Image resolution Optical resolving power Signal to noise ratio Turbo codes
ISSN号10040579
DOI10.15918/j.jbit1004-0579.201827.0211
英文摘要A maximum a posteriori (MAP) algorithm is proposed to improve the accuracy of super resolution (SR) reconstruction in traditional methods. The algorithm applies both joints image registration and SR reconstruction in the framework, but separates them in the process of iteratiion.Firstly, we estimate the shifting parameters through two low resolution (LR) images and use the parameters to reconstruct initial HR images. Then, we update the shifting parameters using HR images. The aforementioned steps are repeated until the ideal HR images are obtained.The metrics such as PSNR and SSIM are used to fully evaluate the quality of the reconstructed image. Experimental results indicate that the proposed method can enhance image resolution efficiently. 2018 Editorial Department of Journal of Beijing Institute of Technology .
源URL[http://ir.ciomp.ac.cn/handle/181722/60826]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Li, Fangbiao,He, Xin,Wei, Zhonghui,et al. Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm[J]. Journal of Beijing Institute of Technology (English Edition),2018,27(2):237-240.
APA Li, Fangbiao,He, Xin,Wei, Zhonghui,Mu, Zhiya,&Li, Muyu.(2018).Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm.Journal of Beijing Institute of Technology (English Edition),27(2),237-240.
MLA Li, Fangbiao,et al."Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm".Journal of Beijing Institute of Technology (English Edition) 27.2(2018):237-240.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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