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Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm
Li, Fangbiao; He, Xin; Wei, Zhonghui; Mu, Zhiya; Li, Muyu
2018
发表期刊Journal of Beijing Institute of Technology (English Edition)
ISSN10040579
卷号27期号:2页码:237-240
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 .
关键词Image reconstruction Image enhancement Image resolution Optical resolving power Signal to noise ratio Turbo codes
DOI10.15918/j.jbit1004-0579.201827.0211
收录类别EI
引用统计
文献类型期刊论文
条目标识符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
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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.
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