Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Super-Resolution Image Reconstruction Based on an Improved Maximum a Posteriori Algorithm | |
Li, Fangbiao; He, Xin![]() | |
2018 | |
发表期刊 | Journal of Beijing Institute of Technology (English Edition)
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ISSN | 10040579 |
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 |
DOI | 10.15918/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 |
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. |
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